ITK  5.1.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType > Class Template Reference

#include <itkResampleImageFilter.h>

+ Inheritance diagram for itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >:
+ Collaboration diagram for itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >:

Public Types

using ComponentType = typename InterpolatorConvertType::ComponentType
 
using ConstPointer = SmartPointer< const Self >
 
using ContinuousInputIndexType = ContinuousIndex< TInterpolatorPrecisionType, ImageDimension >
 
using DecoratedTransformPointer = typename DecoratedTransformType::Pointer
 
using DecoratedTransformType = DataObjectDecorator< TransformType >
 
using DirectionType = typename TOutputImage::DirectionType
 
using ExtrapolatorPointerType = typename ExtrapolatorType::Pointer
 
using ExtrapolatorType = ExtrapolateImageFunction< InputImageType, TInterpolatorPrecisionType >
 
using ImageBaseType = ImageBase< Self::ImageDimension >
 
using IndexType = typename TOutputImage::IndexType
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using InputPixelType = typename TInputImage::PixelType
 
using InterpolatorConvertType = DefaultConvertPixelTraits< InterpolatorOutputType >
 
using InterpolatorOutputType = typename InterpolatorType::OutputType
 
using InterpolatorPointerType = typename InterpolatorType::Pointer
 
using InterpolatorType = InterpolateImageFunction< InputImageType, TInterpolatorPrecisionType >
 
using LinearInterpolatorPointerType = typename LinearInterpolatorType::Pointer
 
using LinearInterpolatorType = LinearInterpolateImageFunction< InputImageType, TInterpolatorPrecisionType >
 
using OriginPointType = typename TOutputImage::PointType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename TOutputImage::RegionType
 
using OutputImageType = TOutputImage
 
using PixelComponentType = typename PixelConvertType::ComponentType
 
using PixelConvertType = DefaultConvertPixelTraits< PixelType >
 
using PixelType = typename TOutputImage::PixelType
 
using Pointer = SmartPointer< Self >
 
using PointType = typename InterpolatorType::PointType
 
using ReferenceImageBaseType = ImageBase< ImageDimension >
 
using Self = ResampleImageFilter
 
using SizeType = Size< Self::ImageDimension >
 
using SpacingType = typename TOutputImage::SpacingType
 
using Superclass = ImageToImageFilter< TInputImage, TOutputImage >
 
using TransformPointerType = typename TransformType::ConstPointer
 
using TransformType = Transform< TTransformPrecisionType, Self::ImageDimension, Self::ImageDimension >
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< TOutputImage >
 
- Public Types inherited from itk::ImageSource< TOutputImage >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = TOutputImage
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const DataObjectDecorator< TransformType > * GetInputnumber () const
 
virtual const char * GetNameOfClass () const
 
virtual const TransformTypeGetTransform () const
 
virtual const DataObjectDecorator< TransformType > * GetTransformInput () const
 
virtual const DataObjectDecorator< TransformType > * GetTransformInput () const
 
virtual void SetInputnumber (const DataObjectDecorator< TransformType > *_arg)
 
virtual void SetTransform (const TransformType *_arg)
 
virtual void SetTransformInput (const DataObjectDecorator< TransformType > *_arg)
 
void VerifyPreconditions () ITKv5_CONST override
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageTypeGetInput () const
 
const InputImageTypeGetInput (unsigned int idx) const
 
void PopBackInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual const float & GetProgress () const
 
void UpdateProgress (float progress)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputInformation ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual void ResetPipeline ()
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
MultiThreaderTypeGetMultiThreader () const
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void PrepareOutputs ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static void SetGlobalDefaultDirectionTolerance (double)
 
static double GetGlobalDefaultDirectionTolerance ()
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static double GetGlobalDefaultCoordinateTolerance ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static constexpr unsigned int ImageDimension = TOutputImage::ImageDimension
 
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 
SizeType m_Size
 
InterpolatorPointerType m_Interpolator
 
ExtrapolatorPointerType m_Extrapolator
 
PixelType m_DefaultPixelValue
 
SpacingType m_OutputSpacing
 
OriginPointType m_OutputOrigin
 
DirectionType m_OutputDirection
 
IndexType m_OutputStartIndex
 
bool m_UseReferenceImage { false }
 
virtual void SetInterpolator (InterpolatorType *_arg)
 
virtual InterpolatorTypeGetModifiableInterpolator ()
 
virtual const InterpolatorTypeGetInterpolator () const
 
virtual void SetExtrapolator (ExtrapolatorType *_arg)
 
virtual ExtrapolatorTypeGetModifiableExtrapolator ()
 
virtual const ExtrapolatorTypeGetExtrapolator () const
 
virtual void SetSize (SizeType _arg)
 
virtual const SizeTypeGetSize () const
 
virtual void SetDefaultPixelValue (PixelType _arg)
 
virtual const PixelTypeGetDefaultPixelValue () const
 
virtual void SetOutputSpacing (SpacingType _arg)
 
virtual void SetOutputSpacing (const double *values)
 
virtual const SpacingTypeGetOutputSpacing () const
 
virtual void SetOutputOrigin (OriginPointType _arg)
 
virtual void SetOutputOrigin (const double *values)
 
virtual const OriginPointTypeGetOutputOrigin () const
 
virtual void SetOutputDirection (DirectionType _arg)
 
virtual const DirectionTypeGetOutputDirection () const
 
void SetOutputParametersFromImage (const ImageBaseType *image)
 
virtual void SetOutputStartIndex (IndexType _arg)
 
virtual const IndexTypeGetOutputStartIndex () const
 
virtual void SetReferenceImage (const ReferenceImageBaseType *input)
 
virtual const ReferenceImageBaseTypeGetReferenceImage () const
 
virtual void SetUseReferenceImage (bool _arg)
 
virtual void UseReferenceImageOn ()
 
virtual void UseReferenceImageOff ()
 
virtual bool GetUseReferenceImage () const
 
 ResampleImageFilter ()
 
 ~ResampleImageFilter () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void VerifyInputInformation () ITKv5_CONST override
 
void GenerateOutputInformation () override
 
void GenerateInputRequestedRegion () override
 
void BeforeThreadedGenerateData () override
 
void AfterThreadedGenerateData () override
 
ModifiedTimeType GetMTime () const override
 
void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) override
 
virtual void NonlinearThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual void LinearThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
 itkLegacyMacro (virtual PixelType CastPixelWithBoundsChecking(const InterpolatorOutputType value, const ComponentType minComponent, const ComponentType maxComponent) const)
 
static PixelComponentType CastComponentWithBoundsChecking (const PixelComponentType value)
 
template<typename TComponent >
static PixelComponentType CastComponentWithBoundsChecking (const TComponent value)
 
static PixelType CastPixelWithBoundsChecking (const ComponentType value)
 
template<typename TPixel >
static PixelType CastPixelWithBoundsChecking (const TPixel value)
 

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
 ImageToImageFilter ()
 
 ~ImageToImageFilter () override
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
void PushBackInput (const DataObject *input) override
 
void PushFrontInput (const DataObject *input) override
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
 ImageSource ()
 
 ~ImageSource () override=default
 
void GenerateData () override
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual void AllocateOutputs ()
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
- Protected Member Functions inherited from itk::ProcessObject
 ProcessObject ()
 
 ~ProcessObject () override
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void AddInput (DataObject *input)
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
virtual void SetPrimaryInput (DataObject *input)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
virtual void AddOutput (DataObject *output)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void RestoreInputReleaseDataFlags ()
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 
- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool m_DynamicMultiThreading
 
- Protected Attributes inherited from itk::ProcessObject
bool m_Updating
 
TimeStamp m_OutputInformationMTime
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

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

Resample an image via a coordinate transform.

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

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

If an sample is taken from outside the image domain, the default behavior is to use a default pixel value. If different behavior is desired, an extrapolator function can be set with SetExtrapolator().

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

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

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

Warning
For multithreading, the TransformPoint method of the user-designated coordinate transform must be threadsafe.
ITK Sphinx Examples:
\li All ITK Sphinx Examples
Examples
Examples/Filtering/DigitallyReconstructedRadiograph1.cxx, Examples/Filtering/FFTDirectInverse.cxx, Examples/Filtering/ResampleImageFilter.cxx, Examples/Filtering/ResampleImageFilter2.cxx, Examples/Filtering/ResampleImageFilter3.cxx, Examples/Filtering/ResampleImageFilter4.cxx, Examples/Filtering/ResampleImageFilter5.cxx, Examples/Filtering/ResampleImageFilter6.cxx, Examples/Filtering/ResampleImageFilter7.cxx, Examples/Filtering/ResampleImageFilter8.cxx, Examples/Filtering/ResampleImageFilter9.cxx, Examples/Filtering/ResampleOrientedImageFilter.cxx, Examples/Filtering/ResampleVolumesToBeIsotropic.cxx, Examples/Filtering/SubsampleVolume.cxx, Examples/RegistrationITKv4/BSplineWarping1.cxx, Examples/RegistrationITKv4/BSplineWarping2.cxx, Examples/RegistrationITKv4/DeformableRegistration10.cxx, Examples/RegistrationITKv4/DeformableRegistration12.cxx, Examples/RegistrationITKv4/DeformableRegistration13.cxx, Examples/RegistrationITKv4/DeformableRegistration14.cxx, Examples/RegistrationITKv4/DeformableRegistration15.cxx, Examples/RegistrationITKv4/DeformableRegistration16.cxx, Examples/RegistrationITKv4/DeformableRegistration17.cxx, Examples/RegistrationITKv4/DeformableRegistration2.cxx, Examples/RegistrationITKv4/DeformableRegistration3.cxx, Examples/RegistrationITKv4/DeformableRegistration4.cxx, Examples/RegistrationITKv4/DeformableRegistration5.cxx, Examples/RegistrationITKv4/DeformableRegistration6.cxx, Examples/RegistrationITKv4/DeformableRegistration7.cxx, Examples/RegistrationITKv4/DeformableRegistration8.cxx, Examples/RegistrationITKv4/DeformableRegistration9.cxx, Examples/RegistrationITKv4/ImageRegistration1.cxx, Examples/RegistrationITKv4/ImageRegistration10.cxx, Examples/RegistrationITKv4/ImageRegistration11.cxx, Examples/RegistrationITKv4/ImageRegistration12.cxx, Examples/RegistrationITKv4/ImageRegistration13.cxx, Examples/RegistrationITKv4/ImageRegistration14.cxx, Examples/RegistrationITKv4/ImageRegistration15.cxx, Examples/RegistrationITKv4/ImageRegistration16.cxx, Examples/RegistrationITKv4/ImageRegistration17.cxx, Examples/RegistrationITKv4/ImageRegistration18.cxx, Examples/RegistrationITKv4/ImageRegistration19.cxx, Examples/RegistrationITKv4/ImageRegistration2.cxx, Examples/RegistrationITKv4/ImageRegistration20.cxx, Examples/RegistrationITKv4/ImageRegistration3.cxx, Examples/RegistrationITKv4/ImageRegistration4.cxx, Examples/RegistrationITKv4/ImageRegistration5.cxx, Examples/RegistrationITKv4/ImageRegistration6.cxx, Examples/RegistrationITKv4/ImageRegistration7.cxx, Examples/RegistrationITKv4/ImageRegistration8.cxx, Examples/RegistrationITKv4/ImageRegistration9.cxx, Examples/RegistrationITKv4/ImageRegistrationHistogramPlotter.cxx, Examples/RegistrationITKv4/LandmarkWarping2.cxx, Examples/RegistrationITKv4/MultiResImageRegistration1.cxx, Examples/RegistrationITKv4/MultiResImageRegistration2.cxx, Examples/RegistrationITKv4/MultiResImageRegistration3.cxx, Examples/RegistrationITKv4/MultiStageImageRegistration1.cxx, Examples/RegistrationITKv4/MultiStageImageRegistration2.cxx, Examples/RegistrationITKv4/ThinPlateSplineWarp.cxx, SphinxExamples/src/Core/ImageFunction/ResampleSegmentedImage/Code.cxx, SphinxExamples/src/Core/Transform/ApplyAffineTransformFromHomogeneousMatrixAndResample/Code.cxx, SphinxExamples/src/Core/Transform/GlobalRegistrationTwoImagesAffine/Code.cxx, SphinxExamples/src/Core/Transform/GlobalRegistrationTwoImagesBSpline/Code.cxx, SphinxExamples/src/Core/Transform/MutualInformationAffine/Code.cxx, SphinxExamples/src/Core/Transform/ScaleAnImage/Code.cxx, SphinxExamples/src/Core/Transform/TranslateAVectorImage/Code.cxx, SphinxExamples/src/Core/Transform/TranslateImage/Code.cxx, SphinxExamples/src/Filtering/ImageGrid/ResampleAnImage/Code.cxx, SphinxExamples/src/Filtering/ImageGrid/ResampleAVectorImage/Code.cxx, SphinxExamples/src/Filtering/ImageGrid/UpsampleAnImage/Code.cxx, SphinxExamples/src/Filtering/ImageGrid/UpsampleOrDownsampleScalarImage/Code.cxx, SphinxExamples/src/IO/GDCM/ResampleDICOMSeries/Code.cxx, SphinxExamples/src/Registration/Common/GlobalRegistrationOfTwoImages/Code.cxx, SphinxExamples/src/Registration/Common/MutualInformation/Code.cxx, SphinxExamples/src/Registration/Common/Perform2DTranslationRegistrationWithMeanSquares/Code.cxx, SphinxExamples/src/Registration/Common/PerformMultiModalityRegistrationWithMutualInformation/Code.cxx, SphinxExamples/src/Registration/Common/RegisterImageToAnotherUsingLandmarks/Code.cxx, SphinxExamples/src/Registration/Common/WatchRegistration/Code.cxx, and SphinxExamples/src/Registration/Metricsv4/PerformRegistrationOnVectorImages/Code.cxx.

Definition at line 89 of file itkResampleImageFilter.h.

Member Typedef Documentation

◆ ComponentType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ComponentType = typename InterpolatorConvertType::ComponentType

Definition at line 137 of file itkResampleImageFilter.h.

◆ ConstPointer

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ConstPointer = SmartPointer<const Self>

Definition at line 98 of file itkResampleImageFilter.h.

◆ ContinuousInputIndexType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ContinuousInputIndexType = ContinuousIndex<TInterpolatorPrecisionType, ImageDimension>

Input pixel continuous index typdef

Definition at line 165 of file itkResampleImageFilter.h.

◆ DecoratedTransformPointer

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::DecoratedTransformPointer = typename DecoratedTransformType::Pointer

Definition at line 126 of file itkResampleImageFilter.h.

◆ DecoratedTransformType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::DecoratedTransformType = DataObjectDecorator<TransformType>

Definition at line 125 of file itkResampleImageFilter.h.

◆ DirectionType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::DirectionType = typename TOutputImage::DirectionType

Definition at line 173 of file itkResampleImageFilter.h.

◆ ExtrapolatorPointerType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ExtrapolatorPointerType = typename ExtrapolatorType::Pointer

Definition at line 144 of file itkResampleImageFilter.h.

◆ ExtrapolatorType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ExtrapolatorType = ExtrapolateImageFunction<InputImageType, TInterpolatorPrecisionType>

Extrapolator type alias.

Definition at line 143 of file itkResampleImageFilter.h.

◆ ImageBaseType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ImageBaseType = ImageBase<Self::ImageDimension>

base type for images of the current ImageDimension

Definition at line 118 of file itkResampleImageFilter.h.

◆ IndexType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::IndexType = typename TOutputImage::IndexType

Image index type alias.

Definition at line 150 of file itkResampleImageFilter.h.

◆ InputImageConstPointer

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InputImageConstPointer = typename InputImageType::ConstPointer

Definition at line 103 of file itkResampleImageFilter.h.

◆ InputImagePointer

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InputImagePointer = typename InputImageType::Pointer

Definition at line 102 of file itkResampleImageFilter.h.

◆ InputImageRegionType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InputImageRegionType = typename InputImageType::RegionType

Definition at line 105 of file itkResampleImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InputImageType = TInputImage

Definition at line 100 of file itkResampleImageFilter.h.

◆ InputPixelType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InputPixelType = typename TInputImage::PixelType

Definition at line 158 of file itkResampleImageFilter.h.

◆ InterpolatorConvertType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InterpolatorConvertType = DefaultConvertPixelTraits<InterpolatorOutputType>

Definition at line 135 of file itkResampleImageFilter.h.

◆ InterpolatorOutputType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InterpolatorOutputType = typename InterpolatorType::OutputType

Definition at line 133 of file itkResampleImageFilter.h.

◆ InterpolatorPointerType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InterpolatorPointerType = typename InterpolatorType::Pointer

Definition at line 131 of file itkResampleImageFilter.h.

◆ InterpolatorType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InterpolatorType = InterpolateImageFunction<InputImageType, TInterpolatorPrecisionType>

Interpolator type alias.

Definition at line 130 of file itkResampleImageFilter.h.

◆ LinearInterpolatorPointerType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::LinearInterpolatorPointerType = typename LinearInterpolatorType::Pointer

Definition at line 140 of file itkResampleImageFilter.h.

◆ LinearInterpolatorType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::LinearInterpolatorType = LinearInterpolateImageFunction<InputImageType, TInterpolatorPrecisionType>

Definition at line 139 of file itkResampleImageFilter.h.

◆ OriginPointType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::OriginPointType = typename TOutputImage::PointType

Definition at line 172 of file itkResampleImageFilter.h.

◆ OutputImagePointer

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::OutputImagePointer = typename OutputImageType::Pointer

Definition at line 104 of file itkResampleImageFilter.h.

◆ OutputImageRegionType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::OutputImageRegionType = typename TOutputImage::RegionType

Typedef to describe the output image region type.

Definition at line 168 of file itkResampleImageFilter.h.

◆ OutputImageType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::OutputImageType = TOutputImage

Definition at line 101 of file itkResampleImageFilter.h.

◆ PixelComponentType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::PixelComponentType = typename PixelConvertType::ComponentType

Definition at line 162 of file itkResampleImageFilter.h.

◆ PixelConvertType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::PixelConvertType = DefaultConvertPixelTraits<PixelType>

Definition at line 160 of file itkResampleImageFilter.h.

◆ PixelType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::PixelType = typename TOutputImage::PixelType

Image pixel value type alias.

Definition at line 157 of file itkResampleImageFilter.h.

◆ Pointer

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::Pointer = SmartPointer<Self>

Definition at line 97 of file itkResampleImageFilter.h.

◆ PointType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::PointType = typename InterpolatorType::PointType

Image point type alias.

Definition at line 153 of file itkResampleImageFilter.h.

◆ ReferenceImageBaseType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ReferenceImageBaseType = ImageBase<ImageDimension>

Typedef the reference image type to be the ImageBase of the OutputImageType

Definition at line 176 of file itkResampleImageFilter.h.

◆ Self

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::Self = ResampleImageFilter

Standard class type aliases.

Definition at line 95 of file itkResampleImageFilter.h.

◆ SizeType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SizeType = Size<Self::ImageDimension>

Image size type alias.

Definition at line 147 of file itkResampleImageFilter.h.

◆ SpacingType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SpacingType = typename TOutputImage::SpacingType

Image spacing,origin and direction type alias

Definition at line 171 of file itkResampleImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::Superclass = ImageToImageFilter<TInputImage, TOutputImage>

Definition at line 96 of file itkResampleImageFilter.h.

◆ TransformPointerType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::TransformPointerType = typename TransformType::ConstPointer

Definition at line 124 of file itkResampleImageFilter.h.

◆ TransformType

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
using itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::TransformType = Transform<TTransformPrecisionType, Self::ImageDimension, Self::ImageDimension>

Transform type alias.

Definition at line 123 of file itkResampleImageFilter.h.

Constructor & Destructor Documentation

◆ ResampleImageFilter()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ResampleImageFilter ( )
protected

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

◆ ~ResampleImageFilter()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::~ResampleImageFilter ( )
overrideprotecteddefault

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

Member Function Documentation

◆ AfterThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::AfterThreadedGenerateData ( )
overrideprotectedvirtual

Set the state of the filter after multi-threading.

Reimplemented from itk::ImageSource< TOutputImage >.

◆ BeforeThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::BeforeThreadedGenerateData ( )
overrideprotectedvirtual

Set up state of filter before multi-threading. InterpolatorType::SetInputImage is not thread-safe and hence has to be set up before DynamicThreadedGenerateData

Reimplemented from itk::ImageSource< TOutputImage >.

◆ CastComponentWithBoundsChecking() [1/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
static PixelComponentType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::CastComponentWithBoundsChecking ( const PixelComponentType  value)
staticprivate

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

◆ CastComponentWithBoundsChecking() [2/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
template<typename TComponent >
static PixelComponentType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::CastComponentWithBoundsChecking ( const TComponent  value)
staticprivate

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

◆ CastPixelWithBoundsChecking() [1/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
static PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::CastPixelWithBoundsChecking ( const ComponentType  value)
staticprivate

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

◆ CastPixelWithBoundsChecking() [2/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
template<typename TPixel >
static PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::CastPixelWithBoundsChecking ( const TPixel  value)
staticprivate

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

◆ CreateAnother()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual::itk::LightObject::Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::CreateAnother ( ) const
virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

◆ DynamicThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::DynamicThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
overrideprotectedvirtual

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

See also
ImageToImageFilter::ThreadedGenerateData(), ImageToImageFilter::GenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GenerateInputRequestedRegion ( )
overrideprotectedvirtual

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

See also
ProcessObject::GenerateInputRequestedRegion()

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

◆ GenerateOutputInformation()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GenerateOutputInformation ( )
overrideprotectedvirtual

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

See also
ProcessObject::GenerateOutputInformaton()

Reimplemented from itk::ProcessObject.

◆ GetDefaultPixelValue()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const PixelType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetDefaultPixelValue ( ) const
virtual

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

◆ GetExtrapolator()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const ExtrapolatorType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetExtrapolator ( ) const
virtual

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

◆ GetInputnumber()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const DataObjectDecorator< TransformType >* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetInputnumber ( ) const
virtual

◆ GetInterpolator()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const InterpolatorType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetInterpolator ( ) const
virtual

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

◆ GetModifiableExtrapolator()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual ExtrapolatorType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetModifiableExtrapolator ( )
virtual

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

◆ GetModifiableInterpolator()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual InterpolatorType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetModifiableInterpolator ( )
virtual

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

◆ GetMTime()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
ModifiedTimeType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetMTime ( ) const
overrideprotectedvirtual

Compute the Modified Time based on the changed components.

Reimplemented from itk::Object.

◆ GetNameOfClass()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const char* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

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

◆ GetOutputDirection()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const DirectionType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetOutputDirection ( ) const
virtual

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

◆ GetOutputOrigin()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const OriginPointType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetOutputOrigin ( ) const
virtual

Get the output image origin.

◆ GetOutputSpacing()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const SpacingType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetOutputSpacing ( ) const
virtual

Get the output image spacing.

◆ GetOutputStartIndex()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const IndexType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetOutputStartIndex ( ) const
virtual

Get the start index of the output largest possible region.

◆ GetReferenceImage()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const ReferenceImageBaseType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetReferenceImage ( ) const
virtual

Get the reference image that is defining the output information.

◆ GetSize()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const SizeType& itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetSize ( ) const
virtual

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

◆ GetTransform()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const TransformType* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetTransform ( ) const
virtual

◆ GetTransformInput() [1/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const DataObjectDecorator< TransformType >* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetTransformInput ( ) const
virtual

◆ GetTransformInput() [2/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual const DataObjectDecorator< TransformType >* itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetTransformInput ( ) const
virtual

◆ GetUseReferenceImage()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual bool itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::GetUseReferenceImage ( ) const
virtual

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

◆ itkLegacyMacro()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::itkLegacyMacro ( virtual PixelType CastPixelWithBoundsChecking(const InterpolatorOutputType value, const ComponentType minComponent, const ComponentType maxComponent) const  )
protected

Cast pixel from interpolator output to PixelType.

◆ LinearThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::LinearThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
protectedvirtual

Implementation for resampling that works for with linear transformation types.

◆ New()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
static Pointer itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::New ( )
static

Method for creation through the object factory.

◆ NonlinearThreadedGenerateData()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::NonlinearThreadedGenerateData ( const OutputImageRegionType outputRegionForThread)
protectedvirtual

Default implementation for resampling that works for any transformation type.

◆ PrintSelf()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

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

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

◆ SetDefaultPixelValue()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetDefaultPixelValue ( PixelType  _arg)
virtual

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

◆ SetExtrapolator()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetExtrapolator ( ExtrapolatorType _arg)
virtual

Get/Set the extrapolator function. The default behavior when sampling outside of the input image is to use the DefaultPixelValue. Some other options include NearestNeighborExtrapolateImageFunction.

◆ SetInputnumber()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetInputnumber ( const DataObjectDecorator< TransformType > *  _arg)
virtual

◆ SetInterpolator()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetInterpolator ( InterpolatorType _arg)
virtual

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

◆ SetOutputDirection()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetOutputDirection ( DirectionType  _arg)
virtual

Set the output direction cosine matrix.

◆ SetOutputOrigin() [1/2]

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

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

◆ SetOutputOrigin() [2/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetOutputOrigin ( OriginPointType  _arg)
virtual

Set the output image origin.

◆ SetOutputParametersFromImage()

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

Helper method to set the output parameters based on this image.

◆ SetOutputSpacing() [1/2]

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

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

◆ SetOutputSpacing() [2/2]

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetOutputSpacing ( SpacingType  _arg)
virtual

Set the output image spacing.

◆ SetOutputStartIndex()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetOutputStartIndex ( IndexType  _arg)
virtual

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

◆ SetReferenceImage()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetReferenceImage ( const ReferenceImageBaseType input)
virtual

Set a reference image to use to define the output information. By default, output information is specified through the SetOutputSpacing, SetOutputOrigin, and SetOutputDirection or SetOutputParametersFromImage methods. Alternatively, this method can be used to specify an image from which to copy the pixel information. UseReferenceImageOn must be set to utilize the reference image.

◆ SetSize()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetSize ( SizeType  _arg)
virtual

Get/Set the size of the output image.

◆ SetTransform()

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

◆ SetTransformInput()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetTransformInput ( const DataObjectDecorator< TransformType > *  _arg)
virtual

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

◆ SetUseReferenceImage()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::SetUseReferenceImage ( bool  _arg)
virtual

Turn on/off whether a specified reference image should be used to define the output information.

◆ UseReferenceImageOff()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::UseReferenceImageOff ( )
virtual

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

◆ UseReferenceImageOn()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
virtual void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::UseReferenceImageOn ( )
virtual

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

◆ VerifyInputInformation()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::VerifyInputInformation ( )
inlineoverrideprotectedvirtual

Override VerifyInputInformation() since this filter's inputs do not need to occupy the same physical space.

See also
ProcessObject::VerifyInputInformation

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

Definition at line 292 of file itkResampleImageFilter.h.

◆ VerifyPreconditions()

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
void itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::VerifyPreconditions ( )
overridevirtual

Verifies that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately. If not valid an exceptions will be thrown.

This method is called before UpdateOutputInformation is propagated to the inputs.

The ProcessObject's implementation verifies that the NumberOfRequiredInputs are set and not null.

Reimplemented from itk::ProcessObject.

Member Data Documentation

◆ ImageDimension

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
constexpr unsigned int itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::ImageDimension = TOutputImage::ImageDimension
staticconstexpr

Number of dimensions.

Definition at line 114 of file itkResampleImageFilter.h.

◆ InputImageDimension

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
constexpr unsigned int itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::InputImageDimension = TInputImage::ImageDimension
staticconstexpr

Definition at line 115 of file itkResampleImageFilter.h.

◆ m_DefaultPixelValue

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
PixelType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_DefaultPixelValue
private

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

Definition at line 373 of file itkResampleImageFilter.h.

◆ m_Extrapolator

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
ExtrapolatorPointerType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_Extrapolator
private

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

Definition at line 371 of file itkResampleImageFilter.h.

◆ m_Interpolator

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
InterpolatorPointerType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_Interpolator
private

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

Definition at line 369 of file itkResampleImageFilter.h.

◆ m_OutputDirection

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
DirectionType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_OutputDirection
private

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

Definition at line 378 of file itkResampleImageFilter.h.

◆ m_OutputOrigin

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
OriginPointType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_OutputOrigin
private

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

Definition at line 377 of file itkResampleImageFilter.h.

◆ m_OutputSpacing

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
SpacingType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_OutputSpacing
private

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

Definition at line 376 of file itkResampleImageFilter.h.

◆ m_OutputStartIndex

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
IndexType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_OutputStartIndex
private

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

Definition at line 379 of file itkResampleImageFilter.h.

◆ m_Size

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
SizeType itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_Size
private

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

Definition at line 368 of file itkResampleImageFilter.h.

◆ m_UseReferenceImage

template<typename TInputImage , typename TOutputImage , typename TInterpolatorPrecisionType = double, typename TTransformPrecisionType = TInterpolatorPrecisionType>
bool itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType, TTransformPrecisionType >::m_UseReferenceImage { false }
private

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

Definition at line 380 of file itkResampleImageFilter.h.


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