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itk::ImageRegistrationMethod< TFixedImage, TMovingImage > Class Template Reference
[Registration Filters]

#include <itkImageRegistrationMethod.h>

Inheritance diagram for itk::ImageRegistrationMethod< TFixedImage, TMovingImage >:

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Collaboration diagram for itk::ImageRegistrationMethod< TFixedImage, TMovingImage >:

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List of all members.

Detailed Description

template<typename TFixedImage, typename TMovingImage>
class itk::ImageRegistrationMethod< TFixedImage, TMovingImage >

Base class for Image Registration Methods.

This Class define the generic interface for a registration method.

This class is templated over the type of the two image to be registered. A generic Transform is used by this class. That allows to select at run time the particular type of transformation that is to be applied for registering the images.

This method use a generic Metric in order to compare the two images. the final goal of the registration method is to find the set of parameters of the Transformation that optimizes the metric.

The registration method also support a generic optimizer that can be selected at run-time. The only restriction for the optimizer is that it should be able to operate in single-valued cost functions given that the metrics used to compare images provide a single value as output.

The terms : Fixed image and Moving image are used in this class to indicate what image is being mapped by the transform.

This class uses the coordinate system of the Fixed image as a reference and searchs for a Transform that will map points from the space of the Fixed image to the space of the Moving image.

For doing so, a Metric will be continously applied to compare the Fixed image with the Transformed Moving image. This process also requires to interpolate values from the Moving image.

Definition at line 63 of file itkImageRegistrationMethod.h.

Public Types

typedef SmartPointer< const
Self
ConstPointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector< DataObjectPointerDataObjectPointerArray
typedef DataObjectPointerArray::size_type DataObjectPointerArraySizeType
typedef FixedImageType::ConstPointer FixedImageConstPointer
typedef MetricType::FixedImageRegionType FixedImageRegionType
typedef TFixedImage FixedImageType
typedef InterpolatorType::Pointer InterpolatorPointer
typedef MetricType::InterpolatorType InterpolatorType
typedef MetricType::Pointer MetricPointer
typedef ImageToImageMetric<
FixedImageType, MovingImageType
MetricType
typedef MovingImageType::ConstPointer MovingImageConstPointer
typedef TMovingImage MovingImageType
typedef SingleValuedNonLinearOptimizer OptimizerType
typedef MetricType::TransformParametersType ParametersType
typedef SmartPointer< SelfPointer
typedef ImageRegistrationMethod Self
typedef ProcessObject Superclass
typedef TransformOutputType::ConstPointer TransformOutputConstPointer
typedef TransformOutputType::Pointer TransformOutputPointer
typedef DataObjectDecorator<
TransformType
TransformOutputType
typedef TransformType::Pointer TransformPointer
typedef MetricType::TransformType TransformType

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 *)
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
virtual const FixedImageRegionTypeGetFixedImageRegion ()
virtual bool GetFixedImageRegionDefined ()
DataObjectPointerArrayGetInputs ()
virtual const ParametersTypeGetLastTransformParameters ()
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
virtual const char * GetNameOfClass () const
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
const TransformOutputTypeGetOutput () const
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
bool HasObserver (const EventObject &event) const
virtual void Initialize () throw (ExceptionObject)
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
void SetFixedImageRegion (const FixedImageRegionType &region)
virtual void SetFixedImageRegionDefined (bool _arg)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
void StartOptimization (void)
void StartRegistration (void)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
virtual void UpdateOutputInformation ()
void UpdateProgress (float amount)
unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
virtual const FixedImageTypeGetFixedImage ()
void SetFixedImage (const FixedImageType *fixedImage)
virtual const ParametersTypeGetInitialTransformParameters ()
virtual void SetInitialTransformParameters (const ParametersType &param)
virtual InterpolatorTypeGetInterpolator ()
virtual void SetInterpolator (InterpolatorType *_arg)
virtual MetricTypeGetMetric ()
virtual void SetMetric (MetricType *_arg)
virtual const MovingImageTypeGetMovingImage ()
void SetMovingImage (const MovingImageType *movingImage)
DataObjectPointerArraySizeType GetNumberOfOutputs () const
DataObjectPointerArrayGetOutputs ()
virtual const int & GetNumberOfThreads ()
virtual void SetNumberOfThreads (int _arg)
virtual OptimizerTypeGetOptimizer ()
virtual void SetOptimizer (OptimizerType *_arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOff ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOff ()
void ReleaseDataFlagOn ()
virtual void SetReleaseDataFlag (bool flag)
virtual TransformTypeGetTransform ()
virtual void SetTransform (TransformType *_arg)

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)

Protected Member Functions

virtual void CacheInputReleaseDataFlags ()
void GenerateData ()
virtual void GenerateInputRequestedRegion ()
virtual void GenerateOutputInformation ()
virtual void GenerateOutputRequestedRegion (DataObject *output)
 ImageRegistrationMethod ()
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 ()
virtual void SetLastTransformParameters (ParametersType _arg)
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
virtual ~ImageRegistrationMethod ()
virtual void AddInput (DataObject *input)
virtual const unsigned int & GetNumberOfRequiredInputs ()
virtual void RemoveInput (DataObject *input)
virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual void AddOutput (DataObject *output)
virtual const unsigned int & GetNumberOfRequiredOutputs ()
virtual void RemoveOutput (DataObject *output)
virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
const DataObjectGetInput (unsigned int idx) const
DataObjectGetInput (unsigned int idx)
const DataObjectGetOutput (unsigned int idx) const
DataObjectGetOutput (unsigned int idx)
virtual void PopBackInput ()
virtual void PopFrontInput ()
virtual void PushBackInput (const DataObject *input)
virtual void PushFrontInput (const DataObject *input)
virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

TimeStamp m_OutputInformationMTime
volatile int m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating


Member Typedef Documentation

template<typename TFixedImage, typename TMovingImage>
typedef SmartPointer<const Self> itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ConstPointer

Reimplemented from itk::ProcessObject.

Definition at line 70 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef DataObject::Pointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::DataObjectPointer

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 114 of file itkImageRegistrationMethod.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [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<typename TFixedImage, typename TMovingImage>
typedef FixedImageType::ConstPointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::FixedImageConstPointer

Definition at line 80 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef MetricType::FixedImageRegionType itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::FixedImageRegionType

Definition at line 90 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef TFixedImage itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::FixedImageType

Type of the Fixed image.

Definition at line 76 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef InterpolatorType::Pointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::InterpolatorPointer

Definition at line 104 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef MetricType::InterpolatorType itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::InterpolatorType

Type of the Interpolator.

Definition at line 103 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef MetricType::Pointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::MetricPointer

Definition at line 89 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef ImageToImageMetric< FixedImageType, MovingImageType > itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::MetricType

Type of the metric.

Definition at line 88 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef MovingImageType::ConstPointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::MovingImageConstPointer

Definition at line 84 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef TMovingImage itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::MovingImageType

Type of the Moving image.

Definition at line 83 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef SingleValuedNonLinearOptimizer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::OptimizerType

Type of the optimizer.

Definition at line 107 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef MetricType::TransformParametersType itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ParametersType

Type of the Transformation parameters This is the same type used to represent the search space of the optimization algorithm

Definition at line 111 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef SmartPointer<Self> itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::Pointer

Reimplemented from itk::ProcessObject.

Definition at line 69 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef ImageRegistrationMethod itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::Self

Standard class typedefs.

Reimplemented from itk::ProcessObject.

Definition at line 67 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef ProcessObject itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::Superclass

Reimplemented from itk::ProcessObject.

Definition at line 68 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef TransformOutputType::ConstPointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::TransformOutputConstPointer

Definition at line 100 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef TransformOutputType::Pointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::TransformOutputPointer

Definition at line 99 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef DataObjectDecorator< TransformType > itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::TransformOutputType

Type for the output: Using Decorator pattern for enabling the Transform to be passed in the data pipeline

Definition at line 98 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef TransformType::Pointer itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::TransformPointer

Definition at line 94 of file itkImageRegistrationMethod.h.

template<typename TFixedImage, typename TMovingImage>
typedef MetricType::TransformType itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::TransformType

Type of the Transform .

Definition at line 93 of file itkImageRegistrationMethod.h.


Constructor & Destructor Documentation

template<typename TFixedImage, typename TMovingImage>
itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ImageRegistrationMethod (  )  [protected]

template<typename TFixedImage, typename TMovingImage>
virtual itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::~ImageRegistrationMethod (  )  [inline, protected, virtual]

Definition at line 209 of file itkImageRegistrationMethod.h.


Member Function Documentation

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

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

Turn on and off the AbortGenerateData flag.

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

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

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

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

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]

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::LightObject.

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::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, 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 >, 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::ShrinkImageFilter< 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::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, 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::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<typename TFixedImage, typename TMovingImage>
void itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::GenerateData (  )  [protected, virtual]

Method invoked by the pipeline in order to trigger the computation of the registration.

Reimplemented from itk::ProcessObject.

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, Dimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, 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 >, 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::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DiscreteGaussianImageFilter< TInputImage, 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::NonThreadedShrinkImageFilter< 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::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, 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::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::ContourExtractor2DImageFilter< TInputImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >, itk::CannyEdgeDetectionImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >,