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itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType > Class Template Reference
[Geometric Transformation Filters]

Resample an image via a coordinate transform. More...

#include <itkResampleImageFilter.h>

Inheritance diagram for itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >:
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Collaboration diagram for itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >:
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List of all members.

Public Types

typedef
BSplineInterpolatorType::Pointer 
BSplineInterpolatorPointerType
typedef
BSplineInterpolateImageFunction
< InputImageType,
TInterpolatorPrecisionType > 
BSplineInterpolatorType
typedef SmartPointer< const SelfConstPointer
typedef SmartPointer< const SelfConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
typedef TOutputImage::DirectionType DirectionType
typedef TOutputImage::DirectionType DirectionType
typedef ImageBase
< itkGetStaticConstMacro(ImageDimension)> 
ImageBaseType
typedef ImageBase
< itkGetStaticConstMacro(ImageDimension)> 
ImageBaseType
typedef TOutputImage::IndexType IndexType
typedef TOutputImage::IndexType IndexType
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef
InputImageType::ConstPointer 
InputImageConstPointer
typedef InputImageType::PixelType InputImagePixelType
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::Pointer InputImagePointer
typedef InputImageType::RegionType InputImageRegionType
typedef InputImageType::RegionType InputImageRegionType
typedef TInputImage InputImageType
typedef TInputImage InputImageType
typedef TInputImage::PixelType InputPixelType
typedef TInputImage::PixelType InputPixelType
typedef InterpolatorType::Pointer InterpolatorPointerType
typedef InterpolatorType::Pointer InterpolatorPointerType
typedef
InterpolateImageFunction
< InputImageType,
TInterpolatorPrecisionType > 
InterpolatorType
typedef
InterpolateImageFunction
< InputImageType,
TInterpolatorPrecisionType > 
InterpolatorType
typedef
LinearInterpolatorType::Pointer 
LinearInterpolatorPointerType
typedef
LinearInterpolateImageFunction
< InputImageType,
TInterpolatorPrecisionType > 
LinearInterpolatorType
typedef TOutputImage::PointType OriginPointType
typedef TOutputImage::PointType OriginPointType
typedef
Superclass::OutputImagePixelType 
OutputImagePixelType
typedef OutputImageType::Pointer OutputImagePointer
typedef OutputImageType::Pointer OutputImagePointer
typedef TOutputImage::RegionType OutputImageRegionType
typedef TOutputImage::RegionType OutputImageRegionType
typedef TOutputImage OutputImageType
typedef TOutputImage OutputImageType
typedef TOutputImage::PixelType PixelType
typedef TOutputImage::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef SmartPointer< SelfPointer
typedef InterpolatorType::PointType PointType
typedef InterpolatorType::PointType PointType
typedef ResampleImageFilter Self
typedef ResampleImageFilter Self
typedef Size
< itkGetStaticConstMacro(ImageDimension)> 
SizeType
typedef Size
< itkGetStaticConstMacro(ImageDimension)> 
SizeType
typedef TOutputImage::SpacingType SpacingType
typedef TOutputImage::SpacingType SpacingType
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass
typedef ImageToImageFilter
< TInputImage, TOutputImage > 
Superclass

typedef Transform
< TInterpolatorPrecisionType,
itkGetStaticConstMacro(ImageDimension),
itkGetStaticConstMacro(ImageDimension)> 
TransformType
typedef TransformType::ConstPointer TransformPointerType

typedef Transform
< TInterpolatorPrecisionType,
itkGetStaticConstMacro(ImageDimension),
itkGetStaticConstMacro(ImageDimension)> 
TransformType
typedef TransformType::ConstPointer TransformPointerType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual void AfterThreadedGenerateData ()
virtual void AfterThreadedGenerateData (void)
virtual void BeforeThreadedGenerateData (void)
virtual void BeforeThreadedGenerateData ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
virtual void GenerateInputRequestedRegion ()
virtual void GenerateInputRequestedRegion (void)
virtual void GenerateOutputInformation ()
virtual void GenerateOutputInformation (void)
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual const PixelTypeGetDefaultPixelValue ()
virtual const PixelTypeGetDefaultPixelValue ()
DataObjectPointerArrayGetInputs ()
virtual const InterpolatorTypeGetInterpolator ()
virtual const InterpolatorTypeGetInterpolator ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
unsigned long GetMTime (void) const
unsigned long GetMTime (void) const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
virtual const char * GetNameOfClass () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
virtual const OriginPointTypeGetOutputOrigin ()
virtual const OriginPointTypeGetOutputOrigin ()
virtual const SpacingTypeGetOutputSpacing ()
virtual const SpacingTypeGetOutputSpacing ()
virtual const IndexTypeGetOutputStartIndex ()
virtual const IndexTypeGetOutputStartIndex ()
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual const SizeTypeGetSize ()
virtual const SizeTypeGetSize ()
virtual const TransformTypeGetTransform ()
virtual const TransformTypeGetTransform ()
virtual bool GetUseReferenceImage () const
virtual bool GetUseReferenceImage () const
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
 itkLegacyMacro (void SetOutputParametersFromConstImage(const ImageBaseType *image))
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
virtual void SetDefaultPixelValue (PixelType _arg)
virtual void SetDefaultPixelValue (PixelType _arg)
virtual void SetInterpolator (InterpolatorType *_arg)
virtual void SetInterpolator (InterpolatorType *_arg)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
void SetOutputParametersFromImage (const ImageBaseType *image)
void SetOutputParametersFromImage (const ImageBaseType *image)
virtual void SetOutputStartIndex (IndexType _arg)
virtual void SetOutputStartIndex (IndexType _arg)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void SetSize (SizeType _arg)
virtual void SetSize (SizeType _arg)
virtual void SetTransform (const TransformType *_arg)
virtual void SetTransform (const TransformType *_arg)
virtual void SetUseReferenceImage (bool _arg)
virtual void SetUseReferenceImage (bool _arg)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
virtual void UseReferenceImageOff ()
virtual void UseReferenceImageOff ()
virtual void UseReferenceImageOn ()
virtual void UseReferenceImageOn ()

virtual void SetOutputSpacing (SpacingType _arg)
virtual void SetOutputSpacing (const double *values)

virtual void SetOutputOrigin (OriginPointType _arg)
virtual void SetOutputOrigin (const double *values)

virtual void SetOutputDirection (DirectionType _arg)
virtual const DirectionTypeGetOutputDirection ()

void SetReferenceImage (const TOutputImage *image)
const TOutputImage * GetReferenceImage (void) const

virtual void SetOutputSpacing (SpacingType _arg)
virtual void SetOutputSpacing (const double *values)

virtual void SetOutputOrigin (OriginPointType _arg)
virtual void SetOutputOrigin (const double *values)

virtual void SetOutputDirection (DirectionType _arg)
virtual const DirectionTypeGetOutputDirection ()

void SetReferenceImage (const TOutputImage *image)
const TOutputImage * GetReferenceImage () const

virtual void SetInput (const InputImageType *image)
virtual void SetInput (unsigned int, const TInputImage *image)
const InputImageTypeGetInput (void)
const InputImageTypeGetInput (unsigned int idx)

virtual void PushBackInput (const InputImageType *image)
virtual void PopBackInput ()
virtual void PushFrontInput (const InputImageType *image)
virtual void PopFrontInput ()

OutputImageTypeGetOutput (void)
OutputImageTypeGetOutput (unsigned int idx)

DataObjectPointerArrayGetOutputs ()
DataObjectPointerArraySizeType GetNumberOfOutputs () const

virtual void SetReleaseDataFlag (bool flag)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOn ()
void ReleaseDataFlagOff ()

virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void ReleaseDataBeforeUpdateFlagOff ()

virtual void SetNumberOfThreads (int _arg)
virtual const int & GetNumberOfThreads ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Static Public Attributes

static const unsigned int ImageDimension = TOutputImage::ImageDimension
static const unsigned int InputImageDimension = TInputImage::ImageDimension

static const unsigned int OutputImageDimension = TOutputImage::ImageDimension

Protected Types

typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(OutputImageDimension),
itkGetStaticConstMacro(InputImageDimension)> 
InputToOutputRegionCopierType
typedef
ImageToImageFilterDetail::ImageRegionCopier
< itkGetStaticConstMacro(InputImageDimension),
itkGetStaticConstMacro(OutputImageDimension)> 
OutputToInputRegionCopierType

typedef int InternalReferenceCountType

Protected Member Functions

virtual void AllocateOutputs ()
virtual void CacheInputReleaseDataFlags ()
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void GenerateData ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
void LinearThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
void LinearThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
void NonlinearThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
void NonlinearThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
 ResampleImageFilter (void)
 ResampleImageFilter ()
virtual void RestoreInputReleaseDataFlags ()
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN
 ~ResampleImageFilter (void)
 ~ResampleImageFilter ()

const DataObjectGetInput (unsigned int idx) const

void PushBackInput (const DataObject *input)
void PushFrontInput (const DataObject *input)

const DataObjectGetOutput (unsigned int idx) const

virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void AddInput (DataObject *input)
virtual void RemoveInput (DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredInputs ()

virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void AddOutput (DataObject *output)
virtual void RemoveOutput (DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredOutputs ()

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Static Protected Member Functions

static ITK_THREAD_RETURN_TYPE ThreaderCallback (void *arg)

Protected Attributes

TimeStamp m_OutputInformationMTime
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating

Detailed Description

template<class TInputImage, class TOutputImage, class TInterpolatorPrecisionType = double>
class itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >

Resample an image via a coordinate transform.

ResampleImageFilter resamples an existing image through some coordinate transform, interpolating via some image function. The class is templated over the types of the input and output images.

Note that the choice of interpolator function can be important. This function is set via SetInterpolator(). The default is itk::LinearInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType>, which is reasonable for ordinary medical images. However, some synthetic images have pixels drawn from a finite prescribed set. An example would be a mask indicating the segmentation of a brain into a small number of tissue types. For such an image, one does not want to interpolate between different pixel values, and so itk::NearestNeighborInterpolateImageFunction< InputImageType, TCoordRep > would be a better choice.

Output information (spacing, size and direction) for the output image should be set. This information has the normal defaults of unit spacing, zero origin and identity direction. Optionally, the output information can be obtained from a reference image. If the reference image is provided and UseReferenceImage is On, then the spacing, origin and direction of the reference image will be used.

Since this filter produces an image which is a different size than its input, it needs to override several of the methods defined in ProcessObject in order to properly manage the pipeline execution model. In particular, this filter overrides ProcessObject::GenerateInputRequestedRegion() and ProcessObject::GenerateOutputInformation().

This filter is implemented as a multithreaded filter. It provides a ThreadedGenerateData() method for its implementation.

ResampleImageFilter resamples an existing image through some coordinate transform, interpolating via some image function. The class is templated over the types of the input and output images.

Note that the choice of interpolator function can be important. This function is set via SetInterpolator(). The default is LinearInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType>, which is reasonable for ordinary medical images. However, some synthetic images have pixels drawn from a finite prescribed set. An example would be a mask indicating the segmentation of a brain into a small number of tissue types. For such an image, one does not want to interpolate between different pixel values, and so NearestNeighborInterpolateImageFunction< InputImageType, TCoordRep > would be a better choice.

Output information (spacing, size and direction) for the output image should be set. This information has the normal defaults of unit spacing, zero origin and identity direction. Optionally, the output information can be obtained from a reference image. If the reference image is provided and UseReferenceImage is On, then the spacing, origin and direction of the reference image will be used.

Since this filter produces an image which is a different size than its input, it needs to override several of the methods defined in ProcessObject in order to properly manage the pipeline execution model. In particular, this filter overrides ProcessObject::GenerateInputRequestedRegion() and ProcessObject::GenerateOutputInformation().

This filter is implemented as a multithreaded filter. It provides a ThreadedGenerateData() method for its implementation.

Definition at line 79 of file itkResampleImageFilter.h.


Member Typedef Documentation

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef BSplineInterpolatorType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::BSplineInterpolatorPointerType

Definition at line 129 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef BSplineInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::BSplineInterpolatorType

Definition at line 127 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef SmartPointer<const Self> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 87 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef SmartPointer<const Self> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ConstPointer
template<class TOutputImage>
typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType [inherited]

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::DirectionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::DirectionType

Definition at line 141 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::DirectionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::DirectionType

Definition at line 151 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef ImageBase<itkGetStaticConstMacro(ImageDimension)> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ImageBaseType

base type for images of the current ImageDimension

Definition at line 105 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef ImageBase<itkGetStaticConstMacro(ImageDimension)> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ImageBaseType

base type for images of the current ImageDimension

Definition at line 144 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::IndexType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::IndexType

Image index typedef.

Definition at line 125 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::IndexType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::IndexType

Image index typedef.

Definition at line 135 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InputImageType::ConstPointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageConstPointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 92 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InputImageType::ConstPointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageConstPointer
template<class TInputImage, class TOutputImage>
typedef InputImageType::PixelType itk::ImageToImageFilter< TInputImage, TOutputImage >::InputImagePixelType [inherited]

Reimplemented in itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::RegionGrowImageFilter< TInputImage, TOutputImage >, itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::ThresholdImageFilter< TImage >, itk::TobogganImageFilter< TInputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1, TFunction2 >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, LessThan, GreaterThan, LessEqual, GreaterEqual >, itk::AutoCropLabelMapFilter< TInputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::PadLabelMapFilter< TInputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::ValuedRegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComposeRGBA< TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::less_equal< TImage::PixelType > >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::greater_equal< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::less< TImage::PixelType >, std::greater_equal< TImage::PixelType >, std::less_equal< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::greater< TImage::PixelType >, std::less_equal< TImage::PixelType >, std::greater_equal< TImage::PixelType > >, itk::InPlaceLabelMapFilter< TImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MinFunctor< TImage::PixelType > >, and itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MaxFunctor< TImage::PixelType > >.

Definition at line 86 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InputImageType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImagePointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 91 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InputImageType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImagePointer
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InputImageType::RegionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageRegionType
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InputImageType::RegionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageRegionType

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 94 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TInputImage itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageType

Some convenient typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 89 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TInputImage itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageType

Some convenient typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 84 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TInputImage::PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputPixelType

Definition at line 133 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TInputImage::PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputPixelType

Definition at line 143 of file itkOptResampleImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage, TOutputImage >::InputToOutputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 164 of file itkImageToImageFilter.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InterpolatorType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InterpolatorPointerType

Definition at line 119 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InterpolatorType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InterpolatorPointerType

Definition at line 119 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InterpolateImageFunction<InputImageType, TInterpolatorPrecisionType> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InterpolatorType

Interpolator typedef.

Definition at line 118 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InterpolateImageFunction<InputImageType, TInterpolatorPrecisionType> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InterpolatorType

Interpolator typedef.

Definition at line 118 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef LinearInterpolatorType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::LinearInterpolatorPointerType

Definition at line 124 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef LinearInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::LinearInterpolatorType

Definition at line 122 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::PointType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OriginPointType

Definition at line 140 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::PointType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OriginPointType

Definition at line 150 of file itkOptResampleImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef Superclass::OutputImagePixelType itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImagePixelType [inherited]

Reimplemented from itk::ImageSource< TOutputImage >.

Reimplemented in itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::RegionGrowImageFilter< TInputImage, TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointImageToBloxBoundaryProfileImageFilter< TSourceImage >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineCenteredResampleImageFilterBase< TInputImage, TOutputImage >, itk::BSplineResampleImageFilterBase< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinImageFilter< TInputImage1, TInputImage2 >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ScalarToArrayCastImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleImageFilter< TInputImage, TOutputImage >, itk::ShiftScaleInPlaceImageFilter< TInputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::ThresholdImageFilter< TImage >, itk::TobogganImageFilter< TInputImage >, itk::TwoOutputExampleImageFilter< TImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::PadLabelMapFilter< TInputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::MagnitudeAndPhaseToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::RealAndImaginaryToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TLabelImage, TOutputImage, Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskNegatedInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType, Functor::MakeJoin< TInputImage1, TInputImage2 >::FunctorType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DCovariantVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComposeRGBA< TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::InPlaceLabelMapFilter< TImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

Definition at line 79 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef OutputImageType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OutputImagePointer

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 88 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef OutputImageType::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OutputImagePointer

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 93 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::RegionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OutputImageRegionType

Typedef to describe the output image region type.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 146 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::RegionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OutputImageRegionType

Typedef to describe the output image region type.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 136 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 90 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 85 of file itkOptResampleImageFilter.h.

template<class TInputImage, class TOutputImage>
typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputToInputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 169 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::PixelType

Image pixel value typedef.

Definition at line 132 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::PixelType

Image pixel value typedef.

Definition at line 142 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef SmartPointer<Self> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::Pointer

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 86 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef SmartPointer<Self> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::Pointer
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InterpolatorType::PointType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::PointType

Image point typedef.

Definition at line 128 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef InterpolatorType::PointType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::PointType

Image point typedef.

Definition at line 138 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef ResampleImageFilter itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::Self

Standard class typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 84 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef ResampleImageFilter itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::Self

Standard class typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 79 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef Size<itkGetStaticConstMacro(ImageDimension)> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SizeType

Image size typedef.

Definition at line 122 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef Size<itkGetStaticConstMacro(ImageDimension)> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SizeType

Image size typedef.

Definition at line 132 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::SpacingType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SpacingType

Image spacing,origin and direction typedef

Definition at line 149 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TOutputImage::SpacingType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SpacingType

Image spacing,origin and direction typedef

Definition at line 139 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef ImageToImageFilter<TInputImage,TOutputImage> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::Superclass

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 85 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef ImageToImageFilter<TInputImage,TOutputImage> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::Superclass
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TransformType::ConstPointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::TransformPointerType

Transform typedef.

Definition at line 113 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef TransformType::ConstPointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::TransformPointerType

Transform typedef.

Definition at line 114 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef Transform<TInterpolatorPrecisionType, itkGetStaticConstMacro(ImageDimension), itkGetStaticConstMacro(ImageDimension)> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::TransformType

Transform typedef.

Definition at line 112 of file itkOptResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
typedef Transform<TInterpolatorPrecisionType, itkGetStaticConstMacro(ImageDimension), itkGetStaticConstMacro(ImageDimension)> itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::TransformType

Transform typedef.

Definition at line 113 of file itkResampleImageFilter.h.


Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ResampleImageFilter ( void   )  [protected]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::~ResampleImageFilter ( void   )  [inline, protected]

Definition at line 266 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ResampleImageFilter (  )  [protected]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::~ResampleImageFilter (  )  [inline, protected]

Definition at line 269 of file itkOptResampleImageFilter.h.


Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff (  )  [virtual, inherited]
virtual void itk::ProcessObject::AbortGenerateDataOn (  )  [virtual, inherited]

Turn on and off the AbortGenerateData flag.

virtual void itk::ProcessObject::AddInput ( DataObject input  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

virtual void itk::ProcessObject::AddOutput ( DataObject output  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::AfterThreadedGenerateData (  )  [virtual]

This method is used to set the state of the filter after multi-threading.

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::AfterThreadedGenerateData ( void   )  [virtual]

This method is used to set the state of the filter after multi-threading.

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::AllocateOutputs (  )  [protected, virtual, inherited]

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.

Reimplemented in itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::StatisticsImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::InPlaceLabelMapFilter< TImage >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::BeforeThreadedGenerateData (  )  [virtual]

This method is used to set the state of the filter before multi-threading.

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::BeforeThreadedGenerateData ( void   )  [virtual]

This method is used to set the state of the filter before multi-threading.

Reimplemented from itk::ImageSource< TOutputImage >.

static void itk::LightObject::BreakOnError (  )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual void itk::ProcessObject::CacheInputReleaseDataFlags (  )  [protected, virtual, inherited]

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::CallCopyInputRegionToOutputRegion ( OutputImageRegionType destRegion,
const InputImageRegionType srcRegion 
) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::CallCopyOutputRegionToInputRegion ( InputImageRegionType destRegion,
const OutputImageRegionType srcRegion 
) [protected, virtual, inherited]

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject  )  [inline, virtual, inherited]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

Definition at line 225 of file itkProcessObject.h.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GenerateData (  )  [protected, virtual, inherited]

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:
ThreadedGenerateData()

Reimplemented from itk::ProcessObject.

Reimplemented in itk::AntiAliasBinaryImageFilter< TInputImage, TOutputImage >, itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >, itk::CurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FastMarchingUpwindGradientImageFilter< TLevelSet, TSpeedImage >, itk::FFTWComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTWRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::GeodesicActiveContourLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GeodesicActiveContourShapePriorLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MRIBiasFieldCorrectionFilter< TInputImage, TOutputImage, TMaskImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::NarrowBandCurvesLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >, itk::ScalarImageKmeansImageFilter< TInputImage, TOutputImage >, itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapeDetectionLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::ShapePriorSegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >, itk::STAPLEImageFilter< TInputImage, TOutputImage >, itk::ThresholdMaximumConnectedComponentsImageFilter< TInputImage, TOutputImage >, itk::VnlFFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::VnlFFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::ApproximateSignedDistanceMapImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointImageToBloxBoundaryProfileImageFilter< TSourceImage >, itk::BloxBoundaryPointToCoreAtomImageFilter< dim >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::CastImageFilter< TInputImage, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, TFunctor, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DifferenceOfGaussiansGradientImageFilter< TInputImage, TDataType >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::Hessian3DToVesselnessMeasureImageFilter< TPixel >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::IterativeInverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::PolylineMask2DImageFilter< TInputImage, TPolyline, TOutputImage >, itk::PolylineMaskImageFilter< TInputImage, TPolyline, TVector, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::SpatialFunctionImageEvaluatorFilter< TSpatialFunction, TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryIterativeHoleFillingImageFilter< TImage >, itk::VTKImageImport< TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >, itk::SimpleFuzzyConnectednessRGBImageFilter< TInputImage, TOutputImage >, itk::VectorFuzzyConnectednessImageFilter< TInputImage, TOutputImage >, itk::AggregateLabelMapFilter< TImage >, itk::AreaClosingImageFilter< TInputImage, TOutputImage, TAttribute >, itk::AreaOpeningImageFilter< TInputImage, TOutputImage, TAttribute >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ChangeLabelLabelMapFilter< TImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >, itk::ExponentialDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::GaborImageSource< TOutputImage >, itk::GridForwardWarpImageFilter< TDeformationField, TOutputImage >, itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MergeLabelMapFilter< TImage >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::RelabelLabelMapFilter< TImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::ShapeKeepNObjectsLabelMapFilter< TImage >, itk::ShapeOpeningLabelMapFilter< TImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::ShapeRelabelLabelMapFilter< TImage >, itk::ShapeUniqueLabelMapFilter< TImage >, itk::ShiftScaleLabelMapFilter< TImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsKeepNObjectsLabelMapFilter< TImage >, itk::StatisticsOpeningLabelMapFilter< TImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::StatisticsRelabelLabelMapFilter< TImage >, itk::StatisticsUniqueLabelMapFilter< TImage >, itk::StochasticFractalDimensionImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >, itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::CastImageFilter< FeatureImageType, ImageType >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarPixelsFunctor< TInputImage::ValueType >, TMaskImage >, itk::ConnectedComponentFunctorImageFilter< TInputImage, TOutputImage, Functor::SimilarVectorsFunctor< TInputImage::ValueType >, TMaskImage >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, unsigned int >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GenerateInputRequestedRegion (  )  [virtual]

ResampleImageFilter needs a different input requested region than the output requested region. As such, ResampleImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

See also:
ProcessObject::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GenerateInputRequestedRegion ( void   )  [virtual]

ResampleImageFilter needs a different input requested region than the output requested region. As such, ResampleImageFilter needs to provide an implementation for GenerateInputRequestedRegion() in order to inform the pipeline execution model.

See also:
ProcessObject::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GenerateOutputInformation (  )  [virtual]

ResampleImageFilter produces an image which is a different size than its input. As such, it needs to provide an implementation for GenerateOutputInformation() in order to inform the pipeline execution model. The original documentation of this method is below.

See also:
ProcessObject::GenerateOutputInformaton()

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GenerateOutputInformation ( void   )  [virtual]

ResampleImageFilter produces an image which is a different size than its input. As such, it needs to provide an implementation for GenerateOutputInformation() in order to inform the pipeline execution model. The original documentation of this method is below.

See also:
ProcessObject::GenerateOutputInformaton()

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject output  )  [protected, virtual, inherited]

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, and itk::watershed::SegmentTreeGenerator< ScalarType >.

virtual const bool& itk::ProcessObject::GetAbortGenerateData (  )  [virtual, inherited]

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const PixelType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetDefaultPixelValue (  )  [virtual]

Get the pixel value when a transformed pixel is outside of the image

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const PixelType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetDefaultPixelValue (  )  [virtual]

Get the pixel value when a transformed pixel is outside of the image

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class TInputImage, class TOutputImage>
const InputImageType* itk::ImageToImageFilter< TInputImage, TOutputImage >::GetInput ( void   )  [inherited]

Set/Get the image input of this process object.

const DataObject* itk::ProcessObject::GetInput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an input.

Reimplemented in itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

template<class TInputImage, class TOutputImage>
const InputImageType* itk::ImageToImageFilter< TInputImage, TOutputImage >::GetInput ( unsigned int  idx  )  [inherited]

Set/Get the image input of this process object.

Reimplemented from itk::ProcessObject.

DataObjectPointerArray& itk::ProcessObject::GetInputs (  )  [inline, inherited]

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const InterpolatorType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetInterpolator (  )  [virtual]

Get a pointer to the interpolator function.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const InterpolatorType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetInterpolator (  )  [virtual]

Get a pointer to the interpolator function.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
unsigned long itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime ( void   )  const [virtual]

Method Compute the Modified Time based on changed to the components.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
unsigned long itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime ( void   )  const [virtual]

Method Compute the Modified Time based on changed to the components.

Reimplemented from itk::Object.

MultiThreader* itk::ProcessObject::GetMultiThreader (  )  [inline, inherited]

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const char* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const char* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs (  )  const [inline, inherited]

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs (  )  const [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 135 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs (  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs (  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual const int& itk::ProcessObject::GetNumberOfThreads (  )  [virtual, inherited]

Get/Set the number of threads to create when executing.

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

virtual DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs (  )  const [virtual, inherited]

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

template<class TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( void   )  [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();
   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

template<class TOutputImage>
OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( unsigned int  idx  )  [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();
   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented from itk::ProcessObject.

const DataObject* itk::ProcessObject::GetOutput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an output.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const DirectionType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputDirection (  )  [virtual]

Set the output direciton cosine matrix.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const DirectionType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputDirection (  )  [virtual]

Set the output direciton cosine matrix.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const OriginPointType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputOrigin (  )  [virtual]

Get the output image origin.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const OriginPointType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputOrigin (  )  [virtual]

Get the output image origin.

DataObjectPointerArray& itk::ProcessObject::GetOutputs (  )  [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const SpacingType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputSpacing (  )  [virtual]

Get the output image spacing.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const SpacingType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputSpacing (  )  [virtual]

Get the output image spacing.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const IndexType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputStartIndex (  )  [virtual]

Get the start index of the output largest possible region.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const IndexType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetOutputStartIndex (  )  [virtual]

Get the start index of the output largest possible region.

virtual const float& itk::ProcessObject::GetProgress (  )  [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::XMLFilterWatcher::ShowProgress().

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
const TOutputImage* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetReferenceImage ( void   )  const

Copy the output information from another Image. By default, the information is specified with the SetOutputSpacing, Origin, and Direction methods. UseReferenceImage must be On and a Reference image must be present to override the defaul behavior. NOTE: This function seems redundant with the SetOutputParametersFromImage( image ) function

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
const TOutputImage* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetReferenceImage (  )  const

Copy the output information from another Image. By default, the information is specified with the SetOutputSpacing, Origin, and Direction methods. UseReferenceImage must be On and a Reference image must be present to override the defaul behavior.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual bool itk::ProcessObject::GetReleaseDataFlag (  )  const [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const SizeType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetSize (  )  [virtual]

Get the size of the output image.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const SizeType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetSize (  )  [virtual]

Get the size of the output image.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const TransformType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetTransform (  )  [virtual]

Get a pointer to the coordinate transform.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual const TransformType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetTransform (  )  [virtual]

Get a pointer to the coordinate transform.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual bool itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetUseReferenceImage (  )  const [virtual]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual bool itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetUseReferenceImage (  )  const [virtual]
static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftNthOutput ( unsigned int  idx,
DataObject output 
) [virtual, inherited]

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject output  )  [virtual, inherited]

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

    // setup the mini-pipeline to process the input to this filter
    firstFilterInMiniPipeline->SetInput( this->GetInput() );

    // setup the mini-pipeline to calculate the correct regions
    // and write to the appropriate bulk data block
    lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );

    // execute the mini-pipeline
    lastFilterInMiniPipeline->Update();

    // graft the mini-pipeline output back onto this filter's output.
    // this is needed to get the appropriate regions passed back.
    this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::itkLegacyMacro ( void   SetOutputParametersFromConstImageconst ImageBaseType *image  ) 
Deprecated:
in ITK 3.14, Please use SetOutputParametersFromImage(). Helper method to set the output parameters based on this image.
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::LinearThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected]

Implementation for resampling that works for with linear transformation types.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::LinearThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected]

Implementation for resampling that works for with linear transformation types.

template<class TOutputImage>
virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( unsigned int  idx  )  [virtual, inherited]

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >.

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
static Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
static Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::NonlinearThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected]

Default implementation for resampling that works for any transformation type.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::NonlinearThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected]

Default implementation for resampling that works for any transformation type.

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PopBackInput (  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PopFrontInput (  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

virtual void itk::ProcessObject::PrepareOutputs (  )  [virtual, inherited]

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

virtual void itk::ProcessObject::PropagateRequestedRegion ( DataObject output  )  [virtual, inherited]

Send the requested region information back up the pipeline (to the filters that preceed this one).

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >, and itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline (  )  [protected, virtual, inherited]

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

template<class TInputImage, class TOutputImage>
void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput ( const DataObject input  )  [inline, protected, virtual, inherited]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 251 of file itkImageToImageFilter.h.

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput ( const InputImageType image  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput ( const InputImageType image  )  [virtual, inherited]

Push/Pop the input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

template<class TInputImage, class TOutputImage>
void itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput ( const DataObject input  )  [inline, protected, virtual, inherited]

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ProcessObject.

Definition at line 253 of file itkImageToImageFilter.h.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::ReleaseDataFlagOff (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 257 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 256 of file itkProcessObject.h.

virtual void itk::ProcessObject::ReleaseInputs (  )  [protected, virtual, inherited]

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See also:
InPlaceImageFilter::ReleaseInputs()

Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, and itk::InPlaceLabelMapFilter< TImage >.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

virtual void itk::ProcessObject::RemoveInput ( DataObject input  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

virtual void itk::ProcessObject::RemoveOutput ( DataObject output  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::ResetPipeline (  )  [virtual, inherited]

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

virtual void itk::ProcessObject::RestoreInputReleaseDataFlags (  )  [protected, virtual, inherited]

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool  _arg  )  [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetDefaultPixelValue ( PixelType  _arg  )  [virtual]

Set the pixel value when a transformed pixel is outside of the image. The default default pixel value is 0.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetDefaultPixelValue ( PixelType  _arg  )  [virtual]

Set the pixel value when a transformed pixel is outside of the image. The default default pixel value is 0.

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput ( unsigned  int,
const TInputImage *  image 
) [virtual, inherited]

Set/Get the image input of this process object.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

template<class TInputImage, class TOutputImage>
virtual void itk::ImageToImageFilter< TInputImage, TOutputImage >::SetInput ( const InputImageType image  )  [virtual, inherited]

Set/Get the image input of this process object.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetInterpolator ( InterpolatorType _arg  )  [virtual]

Set the interpolator function. The default is itk::LinearInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType>. Some other options are itk::NearestNeighborInterpolateImageFunction (useful for binary masks and other images with a small number of possible pixel values), and itk::BSplineInterpolateImageFunction (which provides a higher order of interpolation).

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetInterpolator ( InterpolatorType _arg  )  [virtual]

Set the interpolator function. The default is LinearInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType>. Some other options are NearestNeighborInterpolateImageFunction (useful for binary masks and other images with a small number of possible pixel values), and BSplineInterpolateImageFunction (which provides a higher order of interpolation).

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
virtual void itk::ProcessObject::SetNthInput ( unsigned int  num,
DataObject input 
) [protected, virtual, inherited]
virtual void itk::ProcessObject::SetNthOutput ( unsigned int  num,
DataObject output 
) [protected, virtual, inherited]
void itk::ProcessObject::SetNumberOfInputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the input array. Copies old inputs.

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::SetNumberOfThreads ( int  _arg  )  [virtual, inherited]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputDirection ( DirectionType  _arg  )  [virtual]

Set the output direciton cosine matrix.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputDirection ( DirectionType  _arg  )  [virtual]

Set the output direciton cosine matrix.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputOrigin ( OriginPointType  _arg  )  [virtual]

Set the output image origin.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputOrigin ( OriginPointType  _arg  )  [virtual]

Set the output image origin.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputOrigin ( const double *  values  )  [virtual]

Set the output image origin.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputOrigin ( const double *  values  )  [virtual]

Set the output image origin.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputParametersFromImage ( const ImageBaseType image  ) 

Helper method to set the output parameters based on this image

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputParametersFromImage ( const ImageBaseType image  ) 

Helper method to set the output parameters based on this image

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputSpacing ( SpacingType  _arg  )  [virtual]

Set the output image spacing.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputSpacing ( SpacingType  _arg  )  [virtual]

Set the output image spacing.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputSpacing ( const double *  values  )  [virtual]

Set the output image spacing.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputSpacing ( const double *  values  )  [virtual]

Set the output image spacing.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputStartIndex ( IndexType  _arg  )  [virtual]

Set the start index of the output largest possible region. The default is an index of all zeros.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetOutputStartIndex ( IndexType  _arg  )  [virtual]

Set the start index of the output largest possible region. The default is an index of all zeros.

virtual void itk::ProcessObject::SetProgress ( float  _arg  )  [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage ( const TOutputImage *  image  ) 

Copy the output information from another Image. By default, the information is specified with the SetOutputSpacing, Origin, and Direction methods. UseReferenceImage must be On and a Reference image must be present to override the defaul behavior.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetReferenceImage ( const TOutputImage *  image  ) 

Copy the output information from another Image. By default, the information is specified with the SetOutputSpacing, Origin, and Direction methods. UseReferenceImage must be On and a Reference image must be present to override the defaul behavior. NOTE: This function seems redundant with the SetOutputParametersFromImage( image ) function

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool  _arg  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual void itk::ProcessObject::SetReleaseDataFlag ( bool  flag  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetSize ( SizeType  _arg  )  [virtual]

Set the size of the output image.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetSize ( SizeType  _arg  )  [virtual]

Set the size of the output image.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetTransform ( const TransformType _arg  )  [virtual]

Set the coordinate transformation. Set the coordinate transform to use for resampling. Note that this must be in physical coordinates and it is the output-to-input transform, NOT the input-to-output transform that you might naively expect. By default the filter uses an Identity transform. You must provide a different transform here, before attempting to run the filter, if you do not want to use the default Identity transform.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetTransform ( const TransformType _arg  )  [virtual]

Set the coordinate transformation. Set the coordinate transform to use for resampling. Note that this must be in physical coordinates and it is the output-to-input transform, NOT the input-to-output transform that you might naively expect. By default the filter uses an Identity transform. You must provide a different transform here, before attempting to run the filter, if you do not want to use the default Identity transform.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetUseReferenceImage ( bool  _arg  )  [virtual]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::SetUseReferenceImage ( bool  _arg  )  [virtual]
template<class TOutputImage>
virtual int itk::ImageSource< TOutputImage >::SplitRequestedRegion ( int  i,
int  num,
OutputImageRegionType splitRegion 
) [protected, virtual, inherited]

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

template<class TOutputImage>
virtual void itk::ImageSource< TOutputImage >::ThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected, virtual, inherited]

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:
GenerateData(), SplitRequestedRegion()

Reimplemented in itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::BoxMeanImageFilter< TInputImage, TOutputImage >, itk::BoxSigmaImageFilter< TInputImage, TOutputImage >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >, itk::ScalarToRGBColormapImageFilter< TInputImage, TOutputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::MagnitudeAndPhaseToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::RealAndImaginaryToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TLabelImage, TOutputImage, Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskNegatedInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType, Functor::MakeJoin< TInputImage1, TInputImage2 >::FunctorType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DCovariantVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComposeRGBA< TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, RankHistogram< TInputImage::PixelType > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::less< TInputImage::PixelType > > >, itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologyHistogram< TInputImage::PixelType, std::greater< TInputImage::PixelType > > >, and itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, Function::MorphologicalGradientHistogram< TInputImage::PixelType > >.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected]

ResampleImageFilter can be implemented as a multithreaded filter. Therefore, this implementation provides a ThreadedGenerateData() routine which is called for each processing thread. The output image data is allocated automatically by the superclass prior to calling ThreadedGenerateData(). ThreadedGenerateData can only write to the portion of the output image specified by the parameter "outputRegionForThread"

See also:
ImageToImageFilter::ThreadedGenerateData(), ImageToImageFilter::GenerateData()
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ThreadedGenerateData ( const OutputImageRegionType outputRegionForThread,
int  threadId 
) [protected]

ResampleImageFilter can be implemented as a multithreaded filter. Therefore, this implementation provides a ThreadedGenerateData() routine which is called for each processing thread. The output image data is allocated automatically by the superclass prior to calling ThreadedGenerateData(). ThreadedGenerateData can only write to the portion of the output image specified by the parameter "outputRegionForThread"

See also:
ImageToImageFilter::ThreadedGenerateData(), ImageToImageFilter::GenerateData()
template<class TOutputImage>
static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void *  arg  )  [static, protected, inherited]

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::Update (  )  [virtual, inherited]

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateLargestPossibleRegion (  )  [virtual, inherited]

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

virtual void itk::ProcessObject::UpdateOutputData ( DataObject output  )  [virtual, inherited]

Actually generate new output

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

virtual void itk::ProcessObject::UpdateOutputInformation (  )  [virtual, inherited]

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::VTKImageImport< TOutputImage >, and itk::watershed::Segmenter< InputImageType >.

void itk::ProcessObject::UpdateProgress ( float  amount  )  [inherited]

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::UseReferenceImageOff (  )  [virtual]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::UseReferenceImageOff (  )  [virtual]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::UseReferenceImageOn (  )  [virtual]
template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::UseReferenceImageOn (  )  [virtual]

Member Data Documentation

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
static const unsigned int itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::ImageDimension = TOutputImage::ImageDimension [static]

Number of dimensions.

Definition at line 104 of file itkResampleImageFilter.h.

template<class TInputImage , class TOutputImage , class TInterpolatorPrecisionType = double>
static const unsigned int itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::InputImageDimension = TInputImage::ImageDimension [static]

Number of dimensions.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 106 of file itkResampleImageFilter.h.

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 428 of file itkProcessObject.h.

template<class TInputImage, class TOutputImage>
const unsigned int itk::ImageToImageFilter< TInputImage, TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension [static, inherited]

ImageDimension constants

Reimplemented from itk::ImageSource< TOutputImage >.

Reimplemented in itk::BinaryPruningImageFilter< TInputImage, TOutputImage >, itk::BinaryThinningImageFilter< TInputImage, TOutputImage >, itk::FastChamferDistanceImageFilter< TInputImage, TOutputImage >, itk::GradientVectorFlowImageFilter< TInputImage, TOutputImage, TInternalPixel >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::VoronoiPartitioningImageFilter< TInputImage, TOutputImage >, itk::VoronoiSegmentationImageFilter< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationRGBImageFilter< TInputImage, TOutputImage >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ConstantPadImageFilter< TInputImage, TOutputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::FastIncrementalBinaryDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFunctionDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleFunctionErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::JoinImageFilter< TInputImage1, TInputImage2 >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ReconstructionByDilationImageFilter< TInputImage, TOutputImage >, itk::ReconstructionByErosionImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::ReflectImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryHoleFillingImageFilter< TInputImage, TOutputImage >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ZeroCrossingBasedEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::ImageAndPathToImageFilter< TInputImage, TInputPath, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1, TFunction2 >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, LessThan, GreaterThan, LessEqual, GreaterEqual >, itk::AutoCropLabelMapFilter< TInputImage >, itk::BasicDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::BasicErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::BoxMeanImageFilter< TInputImage, TOutputImage >, itk::BoxSigmaImageFilter< TInputImage, TOutputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::ExponentialDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelMapToLabelImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::PadLabelMapFilter< TInputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::Statistics::ImageClassifierFilter< TSample, TInputImage, TOutputImage >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueDifference< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::MagnitudeAndPhaseToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AND< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Minimum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< Image< TInputPixel1, NDimension >, Image< TInputPixel2, NDimension >, Image< std::complex< TOutputPixel >, NDimension >, Functor::RealAndImaginaryToComplex< TInputPixel1, TInputPixel2, TOutputPixel > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Div< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Sub2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Maximum< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TLabelImage, TOutputImage, Functor::LabelOverlayFunctor< TInputImage::PixelType, TLabelImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Function::Mult< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::ConstrainedValueAddition< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Atan2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::AbsoluteValueDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::OR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskNegatedInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::WeightedAdd2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Add2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TMaskImage, TOutputImage, Functor::MaskInput< TInputImage::PixelType, TMaskImage::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::SquaredDifference2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType, Functor::MakeJoin< TInputImage1, TInputImage2 >::FunctorType >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::Modulus2< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage, TInputImage, TOutputImage, Function::Compose2DCovariantVector< TInputImage::PixelType > >, itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, Functor::XOR< TInputImage1::PixelType, TInputImage2::PixelType, TOutputImage::PixelType > >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::DanielssonDistanceMapImageFilter< ImageType, ImageType >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Add1< TInputImage::PixelType, TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ComposeRGBA< TInputImage::PixelType > >, itk::NaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Maximum1< TInputImage::PixelType, TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::ComposeRGB< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DCovariantVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Add3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage, TInputImage, TInputImage, TOutputImage, Function::Compose3DVector< TInputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::Modulus3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, Function::ModulusSquare3< TInputImage1::PixelType, TInputImage2::PixelType, TInputImage3::PixelType, TOutputImage::PixelType > >, itk::ImageAndPathToImageFilter< TImage, ParametricPath< 2 >, TImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::less_equal< TImage::PixelType > >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::greater_equal< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::less< TImage::PixelType >, std::greater_equal< TImage::PixelType >, std::less_equal< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::greater< TImage::PixelType >, std::less_equal< TImage::PixelType >, std::greater_equal< TImage::PixelType > >, itk::InPlaceLabelMapFilter< TImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MinFunctor< TImage::PixelType > >, and itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MaxFunctor< TImage::PixelType > >.

Definition at line 92 of file itkImageToImageFilter.h.


The documentation for this class was generated from the following files:

Generated at Tue Jul 13 2010 01:19:59 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000