Main Page   Groups   Namespace List   Class Hierarchy   Alphabetical List   Compound List   File List   Namespace Members   Compound Members   File Members   Concepts
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Static Protected Member Functions | Protected Attributes

itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage > Class Template Reference

Image filter which provides a B-spline output approximation. More...

#include <itkBSplineScatteredDataPointSetToImageFilter.h>

Inheritance diagram for itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >:
Inheritance graph
[legend]
Collaboration diagram for itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >:
Collaboration graph
[legend]

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef ImageType::PointType ContinuousIndexType
typedef DataObject::Pointer DataObjectPointer
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
typedef TOutputImage::DirectionType DirectionType
typedef TOutputImage ImageType
typedef ImageType::IndexType IndexType
typedef
InputPointSetType::ConstPointer 
InputPointSetConstPointer
typedef InputPointSetType::Pointer InputPointSetPointer
typedef TInputPointSet InputPointSetType
typedef BSplineKernelFunction< 0 > KernelOrder0Type
typedef BSplineKernelFunction< 1 > KernelOrder1Type
typedef BSplineKernelFunction< 2 > KernelOrder2Type
typedef BSplineKernelFunction< 3 > KernelOrder3Type
typedef
CoxDeBoorBSplineKernelFunction< 3 > 
KernelType
typedef OutputImageType::PixelType OutputImagePixelType
typedef OutputImageType::Pointer OutputImagePointer
typedef
Superclass::OutputImageRegionType 
OutputImageRegionType
typedef TOutputImage OutputImageType
typedef ImageType::PixelType PixelType
typedef
PointSetType::PointDataContainer 
PointDataContainerType
typedef PointSetType::PixelType PointDataType
typedef SmartPointer< SelfPointer
typedef TInputPointSet PointSetType
typedef PointSetType::PointType PointType
typedef ImageType::RegionType RegionType
typedef
BSplineScatteredDataPointSetToImageFilter 
Self
typedef ImageType::SizeType SizeType
typedef TOutputImage::SpacingType SpacingType
typedef PointSetToImageFilter
< TInputPointSet, TOutputImage > 
Superclass
typedef OutputImageType::ValueType ValueType

typedef float RealType
typedef VectorContainer
< unsigned, RealType
WeightsContainerType
typedef Image< PointDataType,
itkGetStaticConstMacro(ImageDimension)> 
PointDataImageType
typedef PointDataImageType::Pointer PointDataImagePointer
typedef Image< RealType,
itkGetStaticConstMacro(ImageDimension)> 
RealImageType
typedef RealImageType::Pointer RealImagePointer
typedef FixedArray< unsigned,
itkGetStaticConstMacro(ImageDimension)> 
ArrayType
typedef VariableSizeMatrix
< RealType
GradientType

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
void Evaluate (PointType, PointDataType &)
void EvaluateGradient (PointType, GradientType &)
virtual void GenerateOutputImageOff ()
virtual void GenerateOutputImageOn ()
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
virtual const ArrayTypeGetCurrentNumberOfControlPoints ()
bool GetDebug () const
virtual const bool & GetGenerateOutputImage ()
DataObjectPointerArrayGetInputs ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
virtual const ArrayTypeGetNumberOfControlPoints ()
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual const ArrayTypeGetNumberOfLevels ()
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
virtual const PointTypeGetOrigin ()
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
virtual const SpacingTypeGetSpacing ()
virtual const ArrayTypeGetSplineOrder ()
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
virtual void GraftOutput (DataObject *output)
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
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 SetGenerateOutputImage (bool _arg)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetNumberOfControlPoints (ArrayType _arg)
void SetNumberOfLevels (unsigned int)
void SetNumberOfLevels (ArrayType)
void SetPointWeights (WeightsContainerType *weights)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
void SetSplineOrder (ArrayType)
void SetSplineOrder (unsigned int)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)

virtual void SetCloseDimension (ArrayType _arg)
virtual const ArrayTypeGetCloseDimension ()

virtual void SetPhiLattice (PointDataImagePointer _arg)
virtual PointDataImagePointer GetPhiLattice () const

void EvaluateAtPoint (PointType, PointDataType &)
void EvaluateAtIndex (IndexType, PointDataType &)
void EvaluateAtContinuousIndex (ContinuousIndexType, PointDataType &)

void EvaluateGradientAtPoint (PointType, GradientType &)
void EvaluateGradientAtIndex (IndexType, GradientType &)
void EvaluateGradientAtContinuousIndex (ContinuousIndexType, GradientType &)

virtual void SetInput (const InputPointSetType *pointset)
virtual void SetInput (unsigned int, const InputPointSetType *pointset)
const InputPointSetTypeGetInput (void)
const InputPointSetTypeGetInput (unsigned int idx)

virtual void SetSpacing (SpacingType _arg)
virtual void SetSpacing (const double *spacing)
virtual void SetSpacing (const float *spacing)

virtual void SetDirection (DirectionType _arg)
virtual const DirectionTypeGetDirection ()

virtual void SetOrigin (PointType _arg)
virtual void SetOrigin (const double *origin)
virtual void SetOrigin (const float *origin)

virtual void SetInsideValue (ValueType _arg)
virtual ValueType GetInsideValue () const

virtual void SetOutsideValue (ValueType _arg)
virtual ValueType GetOutsideValue () const

virtual void SetSize (SizeType _arg)
virtual SizeType GetSize () const

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 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 InputPointSetDimension = InputPointSetType::PointDimension
static const unsigned int OutputImageDimension = TOutputImage::ImageDimension

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

virtual void AllocateOutputs ()
 BSplineScatteredDataPointSetToImageFilter ()
virtual void CacheInputReleaseDataFlags ()
void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
virtual void RestoreInputReleaseDataFlags ()
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual int SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
int SplitRequestedRegion (int, int, RegionType &)
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN
virtual ~BSplineScatteredDataPointSetToImageFilter ()

void ThreadedGenerateData (const RegionType &, int)
void BeforeThreadedGenerateData ()
void AfterThreadedGenerateData ()

const DataObjectGetInput (unsigned int idx) const

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 PushBackInput (const DataObject *input)
virtual void PopBackInput ()
virtual void PushFrontInput (const DataObject *input)
virtual void PopFrontInput ()

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

DirectionType m_Direction
ValueType m_InsideValue
PointType m_Origin
TimeStamp m_OutputInformationMTime
ValueType m_OutsideValue
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
SizeType m_Size
SpacingType m_Spacing
bool m_Updating

Detailed Description

template<class TInputPointSet, class TOutputImage>
class itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >

Image filter which provides a B-spline output approximation.

Given an n-D image with scattered data, this filter finds a fast approximation to that irregularly spaced data using uniform B-splines. The traditional method of inverting the observation matrix to find a least-squares fit is made obsolete. Therefore, memory issues are not a concern and inverting large matrices is not applicable. In addition, this allows fitting to be multi-threaded. This class generalizes from Lee's original paper to encompass n-D data in m-D parametric space and any *feasible* B-spline order as well as the option of specifying a confidence value for each point.

In addition to specifying the input point set, one must specify the number of control points. The specified number of control points must be > m_SplineOrder. If one wishes to use the multilevel component of this algorithm, one must also specify the number of levels in the hierarchy. If this is desired, the number of control points becomes the number of control points for the coarsest level. The algorithm then increases the number of control points at each level so that the B-spline n-D grid is refined to twice the previous level.

Author:
Nicholas J. Tustison

Contributed by Nicholas J. Tustison, James C. Gee in the Insight Journal paper: http://hdl.handle.net/1926/140

REFERENCE
S. Lee, G. Wolberg, and S. Y. Shin, "Scattered Data Interpolation with Multilevel B-Splines", IEEE Transactions on Visualization and Computer Graphics, 3(3):228-244, 1997.
REFERENCE
N.J. Tustison and J.C. Gee, "Generalized n-D C^k Scattered Data Approximation with COnfidence Values", Proceedings of the MIAR conference, August 2006.

Definition at line 72 of file itkBSplineScatteredDataPointSetToImageFilter.h.


Member Typedef Documentation

template<class TInputPointSet , class TOutputImage >
typedef FixedArray<unsigned, itkGetStaticConstMacro( ImageDimension )> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ArrayType

Other typedef

Definition at line 114 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef SmartPointer<const Self> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ConstPointer
template<class TInputPointSet , class TOutputImage >
typedef ImageType::PointType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ContinuousIndexType
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 TInputPointSet , class TOutputImage >
typedef TOutputImage::DirectionType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::DirectionType [inherited]

Definition at line 69 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef VariableSizeMatrix<RealType> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GradientType

Other typedef

Definition at line 115 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef TOutputImage itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ImageType
template<class TInputPointSet , class TOutputImage >
typedef ImageType::IndexType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::IndexType
template<class TInputPointSet , class TOutputImage >
typedef InputPointSetType::ConstPointer itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::InputPointSetConstPointer [inherited]

Definition at line 58 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef InputPointSetType::Pointer itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::InputPointSetPointer [inherited]

Definition at line 57 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef TInputPointSet itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::InputPointSetType [inherited]

Some convenient typedefs.

Definition at line 56 of file itkPointSetToImageFilter.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 TInputPointSet , class TOutputImage >
typedef BSplineKernelFunction<0> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder0Type
template<class TInputPointSet , class TOutputImage >
typedef BSplineKernelFunction<1> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder1Type
template<class TInputPointSet , class TOutputImage >
typedef BSplineKernelFunction<2> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder2Type
template<class TInputPointSet , class TOutputImage >
typedef BSplineKernelFunction<3> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelOrder3Type
template<class TInputPointSet , class TOutputImage >
typedef CoxDeBoorBSplineKernelFunction<3> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::KernelType

Interpolation kernel type (default spline order = 3)

Definition at line 121 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TOutputImage>
typedef OutputImageType::PixelType itk::ImageSource< TOutputImage >::OutputImagePixelType [inherited]

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::GaussianImageSource< 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::ImportImageFilter< TPixel, VImageDimension >, 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::RandomImageSource< TOutputImage >, 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::ImageToImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< 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::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, 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 71 of file itkImageSource.h.

template<class TInputPointSet , class TOutputImage >
typedef OutputImageType::Pointer itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::OutputImagePointer [inherited]

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 43 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef Superclass::OutputImageRegionType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::OutputImageRegionType [inherited]

Superclass typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 50 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef TOutputImage itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::OutputImageType [inherited]

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 42 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef ImageType::PixelType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PixelType

Image typedef support.

Definition at line 93 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef PointSetType::PointDataContainer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataContainerType
template<class TInputPointSet , class TOutputImage >
typedef PointDataImageType::Pointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataImagePointer

Other typedef

Definition at line 109 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef Image<PointDataType, itkGetStaticConstMacro( ImageDimension )> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataImageType

Other typedef

Definition at line 108 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef PointSetType::PixelType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointDataType
template<class TInputPointSet , class TOutputImage >
typedef SmartPointer<Self> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Pointer
template<class TInputPointSet , class TOutputImage >
typedef TInputPointSet itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointSetType
template<class TInputPointSet , class TOutputImage >
typedef PointSetType::PointType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::PointType
template<class TInputPointSet , class TOutputImage >
typedef RealImageType::Pointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RealImagePointer

Other typedef

Definition at line 112 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef Image<RealType, itkGetStaticConstMacro( ImageDimension )> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RealImageType

Other typedef

Definition at line 111 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef float itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RealType

Other typedef

Definition at line 105 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef ImageType::RegionType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::RegionType
template<class TInputPointSet , class TOutputImage >
typedef BSplineScatteredDataPointSetToImageFilter itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Self

Standard class typedefs.

Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.

Definition at line 76 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef ImageType::SizeType itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SizeType
template<class TInputPointSet , class TOutputImage >
typedef TOutputImage::SpacingType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SpacingType [inherited]

Image spacing and origin typedefs

Definition at line 68 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef PointSetToImageFilter<TInputPointSet, TOutputImage> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Superclass
template<class TInputPointSet , class TOutputImage >
typedef OutputImageType::ValueType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::ValueType [inherited]

Definition at line 44 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
typedef VectorContainer<unsigned, RealType> itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::WeightsContainerType

Other typedef

Definition at line 106 of file itkBSplineScatteredDataPointSetToImageFilter.h.


Constructor & Destructor Documentation

template<class TInputPointSet , class TOutputImage >
itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::BSplineScatteredDataPointSetToImageFilter (  )  [protected]
template<class TInputPointSet , class TOutputImage >
virtual itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::~BSplineScatteredDataPointSetToImageFilter (  )  [protected, virtual]

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 TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::AfterThreadedGenerateData (  )  [protected, virtual]

Multithreaded function which generates the control point lattice.

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 TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::BeforeThreadedGenerateData (  )  [protected, virtual]

Multithreaded function which generates the control point lattice.

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().

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 TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::Evaluate ( PointType  ,
PointDataType  
)

Evaluate the resulting B-spline object at a specified parametric point. Note that the parameterization over each dimension of the B-spline object is [0, 1].

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateAtContinuousIndex ( ContinuousIndexType  ,
PointDataType  
)

Evaluate the resulting B-spline object at a specified point or index within the image domain.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateAtIndex ( IndexType  ,
PointDataType  
)

Evaluate the resulting B-spline object at a specified point or index within the image domain.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateAtPoint ( PointType  ,
PointDataType  
)

Evaluate the resulting B-spline object at a specified point or index within the image domain.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateGradient ( PointType  ,
GradientType  
)

Evaluate the gradient of the resulting B-spline object at a specified parametric point. Note that the parameterization over each dimension of the B-spline object is [0, 1].

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateGradientAtContinuousIndex ( ContinuousIndexType  ,
GradientType  
)

Evaluate the gradient of the resulting B-spline object at a specified point or index within the image domain.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateGradientAtIndex ( IndexType  ,
GradientType  
)

Evaluate the gradient of the resulting B-spline object at a specified point or index within the image domain.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::EvaluateGradientAtPoint ( PointType  ,
GradientType  
)

Evaluate the gradient of the resulting B-spline object at a specified point or index within the image domain.

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

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::PointSetToImageFilter< TInputPointSet, TOutputImage >.

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

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).

Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, 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::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointToCoreAtomImageFilter< dim >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineDecompositionImageFilter< 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::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, 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::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1, TFunction2 >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, LessThan, GreaterThan, LessEqual, GreaterEqual >, 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::BoxImageFilter< TInputImage, TOutputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::ContourExtractor2DImageFilter< TInputImage >, itk::ConvolutionImageFilter< TInputImage, TOutputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, 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::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, 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::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< TOutput >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathAndImageToPathFilter< TFourierSeriesPath, TSwathMeritImage, OrthogonallyCorrected2DParametricPath >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, itk::PathToPathFilter< TFourierSeriesPath, OrthogonallyCorrected2DParametricPath >, 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::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::BoxImageFilter< TImageType, TImageType >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, 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 > >, 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 > >.

template<class TInputPointSet , class TOutputImage >
virtual void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GenerateOutputImageOff (  )  [virtual]
template<class TInputPointSet , class TOutputImage >
virtual void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GenerateOutputImageOn (  )  [virtual]
template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GenerateOutputInformation (  )  [inline, protected, virtual, inherited]

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented from itk::ProcessObject.

Definition at line 145 of file itkPointSetToImageFilter.h.

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.

template<class TInputPointSet , class TOutputImage >
virtual const ArrayType& itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetCloseDimension (  )  [virtual]

This array of 0/1 values defines whether a particular dimension of the parametric space is to be considered periodic or not. For example, if you are using interpolating along a 1D closed curve, the array type will have size 1, and you should set the first element of this array to the value "1". In the case that you were interpolating in a planar surface with cylindrical topology, the array type will have two components, and you should set to "1" the component that goes around the cylinder, and set to "0" the component that goes from the top of the cylinder to the bottom. This will indicate the periodity of that parameter to the filter. Internally, in order to make periodic the domain of the parameter, the filter will reuse some of the points at the beginning of the domain as if they were also located at the end of the domain. The number of points to be reused will depend on the spline order. As a user, you don't need to replicate the points, the filter will do this for you.

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.

template<class TInputPointSet , class TOutputImage >
virtual const ArrayType& itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetCurrentNumberOfControlPoints (  )  [virtual]
bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

template<class TInputPointSet , class TOutputImage >
virtual const DirectionType& itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetDirection (  )  [virtual, inherited]

Get/Set the direction of the image. The direction is the relationship of the grid to physical coordinates.

template<class TInputPointSet , class TOutputImage >
virtual const bool& itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetGenerateOutputImage (  )  [virtual]
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 TInputPointSet , class TOutputImage >
const InputPointSetType* itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetInput ( void   )  [inherited]

Set/Get the input point-set of this process object.

template<class TInputPointSet , class TOutputImage >
const InputPointSetType* itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetInput ( unsigned int  idx  )  [inherited]

Set/Get the input point-set of this process object.

Reimplemented from itk::ProcessObject.

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 >.

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 TInputPointSet , class TOutputImage >
virtual ValueType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetInsideValue (  )  const [virtual, inherited]

Set/Get the value for pixels in the point-set. By default, this filter will return an image that contains values from the point-set specified as input. If this "inside" value is changed to a non-null value, the output produced by this filter will be a mask with inside/outside values specified by the user.

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.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, 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 > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

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

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputPointSet , class TOutputImage >
virtual const char* itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetNameOfClass (  )  const [virtual, inherited]

Run-time type information (and related methods).

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputPointSet , class TOutputImage >
virtual const ArrayType& itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetNumberOfControlPoints (  )  [virtual]
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.

template<class TInputPointSet , class TOutputImage >
virtual const ArrayType& itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetNumberOfLevels (  )  [virtual]
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 TInputPointSet , class TOutputImage >
virtual const PointType& itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetOrigin (  )  [virtual, inherited]

Get the origin of the image. The origin is the geometric coordinates of the index (0,0). The value returned is a pointer to a double array. For ImageBase and Image, the default origin is 0.

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.

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 TInputPointSet , class TOutputImage >
virtual ValueType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetOutsideValue (  )  const [virtual, inherited]

Set/Get the value for pixels outside the point-set. By default, this filter will return an image that contains values from the point specified as input. If this "outside" value is changed to a non-null value, the output produced by this filter will be a mask with inside/outside values specified by the user.

template<class TInputPointSet , class TOutputImage >
virtual PointDataImagePointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetPhiLattice (  )  const [virtual]

Get the control point lattice.

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.

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 TInputPointSet , class TOutputImage >
virtual SizeType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetSize (  )  const [virtual, inherited]

Set/Get Size

template<class TInputPointSet , class TOutputImage >
virtual const SpacingType& itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::GetSpacing (  )  [virtual, inherited]

Get the spacing (size of a pixel) of the image. The spacing is the geometric distance between image samples. The value returned is a pointer to a double array. For ImageBase and Image, the default data spacing is unity.

template<class TInputPointSet , class TOutputImage >
virtual const ArrayType& itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::GetSplineOrder (  )  [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 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 TInputPointSet , class TOutputImage >
static Pointer itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::PointSetToImageFilter< TInputPointSet, TOutputImage >.

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

Push/Pop an 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.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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

Push/Pop an 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.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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 TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::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::PointSetToImageFilter< TInputPointSet, 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.

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

Push/Pop an 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.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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

Push/Pop an 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.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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.

template<class TInputPointSet , class TOutputImage >
virtual void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetCloseDimension ( ArrayType  _arg  )  [virtual]

This array of 0/1 values defines whether a particular dimension of the parametric space is to be considered periodic or not. For example, if you are using interpolating along a 1D closed curve, the array type will have size 1, and you should set the first element of this array to the value "1". In the case that you were interpolating in a planar surface with cylindrical topology, the array type will have two components, and you should set to "1" the component that goes around the cylinder, and set to "0" the component that goes from the top of the cylinder to the bottom. This will indicate the periodity of that parameter to the filter. Internally, in order to make periodic the domain of the parameter, the filter will reuse some of the points at the beginning of the domain as if they were also located at the end of the domain. The number of points to be reused will depend on the spline order. As a user, you don't need to replicate the points, the filter will do this for you.

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

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

template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetDirection ( DirectionType  _arg  )  [virtual, inherited]

Get/Set the direction of the image. The direction is the relationship of the grid to physical coordinates.

template<class TInputPointSet , class TOutputImage >
virtual void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetGenerateOutputImage ( bool  _arg  )  [virtual]
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 TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetInput ( unsigned  int,
const InputPointSetType pointset 
) [virtual, inherited]

Set/Get the input point-set of this process object.

template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetInput ( const InputPointSetType pointset  )  [virtual, inherited]

Set/Get the input point-set of this process object.

template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetInsideValue ( ValueType  _arg  )  [virtual, inherited]

Set/Get the value for pixels in the point-set. By default, this filter will return an image that contains values from the point-set specified as input. If this "inside" value is changed to a non-null value, the output produced by this filter will be a mask with inside/outside values specified by the user.

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]
template<class TInputPointSet , class TOutputImage >
virtual void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetNumberOfControlPoints ( ArrayType  _arg  )  [virtual]
void itk::ProcessObject::SetNumberOfInputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the input array. Copies old inputs.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetNumberOfLevels ( unsigned  int  ) 

Helper functions

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetNumberOfLevels ( ArrayType   ) 
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 TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetOrigin ( const float *  origin  )  [virtual, inherited]

Set the origin of the image. The origin is the geometric coordinates of the image origin. It is stored internally as double but may be set from float.

See also:
GetOrigin()
template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetOrigin ( PointType  _arg  )  [virtual, inherited]

Set the origin of the image. The origin is the geometric coordinates of the image origin. It is stored internally as double but may be set from float.

See also:
GetOrigin()
template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetOrigin ( const double *  origin  )  [virtual, inherited]

Set the origin of the image. The origin is the geometric coordinates of the image origin. It is stored internally as double but may be set from float.

See also:
GetOrigin()
template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetOutsideValue ( ValueType  _arg  )  [virtual, inherited]

Set/Get the value for pixels outside the point-set. By default, this filter will return an image that contains values from the point specified as input. If this "outside" value is changed to a non-null value, the output produced by this filter will be a mask with inside/outside values specified by the user.

template<class TInputPointSet , class TOutputImage >
virtual void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetPhiLattice ( PointDataImagePointer  _arg  )  [virtual]

Get the control point lattice.

template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetPointWeights ( WeightsContainerType weights  ) 
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.

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 TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetSize ( SizeType  _arg  )  [virtual, inherited]

Set/Get Size

template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetSpacing ( const float *  spacing  )  [virtual, inherited]

Set the spacing (size of a pixel) of the image. The spacing is the geometric distance between image samples. It is stored internally as double, but may be set from float.

See also:
GetSpacing()
template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetSpacing ( const double *  spacing  )  [virtual, inherited]

Set the spacing (size of a pixel) of the image. The spacing is the geometric distance between image samples. It is stored internally as double, but may be set from float.

See also:
GetSpacing()
template<class TInputPointSet , class TOutputImage >
virtual void itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::SetSpacing ( SpacingType  _arg  )  [virtual, inherited]

Set the spacing (size of a pixel) of the image. The spacing is the geometric distance between image samples. It is stored internally as double, but may be set from float.

See also:
GetSpacing()
template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetSplineOrder ( ArrayType   ) 
template<class TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SetSplineOrder ( unsigned  int  ) 
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 TInputPointSet , class TOutputImage >
int itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion ( int  ,
int  ,
RegionType  
) [inline, protected]

Only the points are divided among the threads, so always return a valid number

Definition at line 218 of file itkBSplineScatteredDataPointSetToImageFilter.h.

References itk::ProcessObject::GetNumberOfThreads().

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 TInputPointSet , class TOutputImage >
void itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ThreadedGenerateData ( const RegionType ,
int   
) [protected]

Multithreaded function which generates the control point lattice.

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.


Member Data Documentation

template<class TInputPointSet , class TOutputImage >
const unsigned int itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::ImageDimension = TOutputImage::ImageDimension [static]

Extract dimension from input and output image.

Definition at line 87 of file itkBSplineScatteredDataPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
const unsigned int itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::InputPointSetDimension = InputPointSetType::PointDimension [static, inherited]

Dimension constants

Definition at line 62 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
DirectionType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::m_Direction [protected, inherited]

Definition at line 151 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
ValueType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::m_InsideValue [protected, inherited]

Definition at line 152 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
PointType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::m_Origin [protected, inherited]

Definition at line 149 of file itkPointSetToImageFilter.h.

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

template<class TInputPointSet , class TOutputImage >
ValueType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::m_OutsideValue [protected, inherited]

Definition at line 153 of file itkPointSetToImageFilter.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.

template<class TInputPointSet , class TOutputImage >
SizeType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::m_Size [protected, inherited]

Definition at line 148 of file itkPointSetToImageFilter.h.

template<class TInputPointSet , class TOutputImage >
SpacingType itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::m_Spacing [protected, inherited]

Definition at line 150 of file itkPointSetToImageFilter.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 TInputPointSet , class TOutputImage >
const unsigned int itk::PointSetToImageFilter< TInputPointSet, TOutputImage >::OutputImageDimension = TOutputImage::ImageDimension [static, inherited]

Dimension constants

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 64 of file itkPointSetToImageFilter.h.


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

Generated at Mon Jul 12 2010 21:17:31 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000