itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer > Class Template Reference
This class computes texture descriptions from an image. More...
#include <itkScalarImageToTextureFeaturesFilter.h>
Detailed Description
template<class TImageType, class THistogramFrequencyContainer = DenseFrequencyContainer2>
class itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >
This class computes texture descriptions from an image.
This class computes features that summarize the texture of a given image. The texture features are compute a la Haralick, and have proven to be useful in image classification for biological and medical imaging. This class computes the texture features of an image (optionally in a masked masked region), averaged across several spatial directions so that they are invariant to rotation.
By default, texure features are computed for each spatial direction and then averaged afterward, so it is possible to access the standard deviations of the texture features. These values give a clue as to texture anisotropy. However, doing this is much more work, because it involved computing one GLCM for each offset given. To compute a single GLCM using the first offset , call FastCalculationsOn(). If this is called, then the texture standard deviations will not be computed (and will be set to zero), but texture computation will be much faster.
This class is templated over the input image type.
Template Parameters: The image type, and the type of histogram frequency container. If you are using a large number of bins per axis, a sparse frequency container may be advisable. The default is to use a dense frequency container.
Inputs and parameters:
- An image
- A mask defining the region over which texture features will be calculated. (Optional)
- The pixel value that defines the "inside" of the mask. (Optional, defaults to 1 if a mask is set.)
- The set of features to be calculated. These features are defined in the GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator class. (Optional, defaults to {Energy, Entropy, InverseDifferenceMoment, Inertia, ClusterShade, ClusterProminence}, as in Conners, Trivedi and Harlow.)
- The number of intensity bins. (Optional, defaults to 256.)
- The set of directions (offsets) to average across. (Optional, defaults to {(-1, 0), (-1, -1), (0, -1), (1, -1)} for 2D images and scales analogously for ND images.)
- The pixel intensity range over which the features will be calculated. (Optional, defaults to the full dynamic range of the pixel type.)
In general, the default parameter values should be sufficient.
Outputs: (1) The average value of each feature. (2) The standard deviation in the values of each feature.
Web references: http://www.cssip.uq.edu.au/meastex/www/algs/algs/algs.html http://www.ucalgary.ca/~mhallbey/texture/texture_tutorial.html
Print references: Haralick, R.M., K. Shanmugam and I. Dinstein. 1973. Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics. SMC-3(6):610-620.
Haralick, R.M. 1979. Statistical and Structural Approaches to Texture. Proceedings of the IEEE, 67:786-804.
R.W. Conners and C.A. Harlow. A Theoretical Comaprison of Texture Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2:204-222, 1980.
R.W. Conners, M.M. Trivedi, and C.A. Harlow. Segmentation of a High-Resolution Urban Scene using Texture Operators. Computer Vision, Graphics and Image Processing, 25:273-310, 1984.
Author: Zachary Pincus
Definition at line 109 of file itkScalarImageToTextureFeaturesFilter.h.
Member Typedef Documentation
| typedef SmartPointer<const Self> itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::ConstPointer |
Reimplemented from itk::ProcessObject.
Definition at line 116 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef ScalarImageToCooccurrenceMatrixFilter< ImageType, FrequencyContainerType > itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::CooccurrenceMatrixFilterType |
Definition at line 135 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef DataObject::Pointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::DataObjectPointer |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
Definition at line 152 of file itkScalarImageToTextureFeaturesFilter.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.
| typedef VectorContainer<unsigned char, TextureFeatureName> itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureNameVector |
Definition at line 144 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef FeatureNameVector::ConstPointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureNameVectorConstPointer |
Definition at line 147 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef FeatureNameVector::Pointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureNameVectorPointer |
Definition at line 146 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef VectorContainer<unsigned char, double> itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureValueVector |
Definition at line 148 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef DataObjectDecorator<FeatureValueVector> itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureValueVectorDataObjectType |
Type of DataObjects used for scalar outputs
Definition at line 156 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef FeatureValueVector::Pointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureValueVectorPointer |
Definition at line 149 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef THistogramFrequencyContainer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FrequencyContainerType |
Definition at line 122 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef CooccurrenceMatrixFilterType::HistogramType itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::HistogramType |
Definition at line 138 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef ImageType::Pointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::ImagePointer |
Definition at line 126 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef TImageType itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::ImageType |
Definition at line 125 of file itkScalarImageToTextureFeaturesFilter.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 139 of file itkLightObject.h.
| typedef ImageType::OffsetType itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetType |
Definition at line 129 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef VectorContainer<unsigned char, OffsetType> itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetVector |
Definition at line 130 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef OffsetVector::ConstPointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorConstPointer |
Definition at line 132 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef OffsetVector::Pointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorPointer |
Definition at line 131 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef ImageType::PixelType itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::PixelType |
Definition at line 128 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef SmartPointer<Self> itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::Pointer |
Reimplemented from itk::ProcessObject.
Definition at line 115 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef ScalarImageToTextureFeaturesFilter itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::Self |
Standard typedefs
Reimplemented from itk::ProcessObject.
Definition at line 113 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef ProcessObject itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::Superclass |
Reimplemented from itk::ProcessObject.
Definition at line 114 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef TextureFeaturesFilterType::TextureFeatureName itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::TextureFeatureName |
Definition at line 143 of file itkScalarImageToTextureFeaturesFilter.h.
| typedef HistogramToTextureFeaturesFilter< HistogramType > itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::TextureFeaturesFilterType |
Definition at line 141 of file itkScalarImageToTextureFeaturesFilter.h.
Constructor & Destructor Documentation
| itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToTextureFeaturesFilter | ( | ) | [protected] |
| virtual itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::~ScalarImageToTextureFeaturesFilter | ( | ) | [inline, protected, virtual] |
Definition at line 207 of file itkScalarImageToTextureFeaturesFilter.h.
Member Function Documentation
| virtual void itk::ProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
| virtual void itk::ProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
| virtual void itk::ProcessObject::AddInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| 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] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
| 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, VDimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, 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.
| virtual void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FastCalculationsOff | ( | ) | [virtual] |
| virtual void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FastCalculationsOn | ( | ) | [virtual] |
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FastCompute | ( | ) | [protected] |
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::FullCompute | ( | ) | [protected] |
| virtual void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GenerateData | ( | ) | [protected, virtual] |
This method causes the filter to generate its output.
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, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointToCoreAtomImageFilter< dim >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, TFunction1, TFunction2 >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, LessThan, GreaterThan, LessEqual, GreaterEqual >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::BoxImageFilter< TInputImage, TOutputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::ContourExtractor2DImageFilter< TInputImage >, itk::ConvolutionImageFilter< TInputImage, TOutputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::DiscreteGaussianDerivativeImageFilter< TInputImage, TOutputImage >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::FFTShiftImageFilter< TInputImage, TOutputImage >, itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFiniteDifferenceFunction, TIdCell >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, TFunction1 >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< ImageType, ImageType >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::DisplacementFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >, itk::FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage,TClassifiedImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel,VDimension > >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage,TOutputImage >, itk::ImageToImageFilter< ImageType,ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TImage,TImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLevelSet,TLevelSet >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSpeedImage,TLevelSet >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< TOutputMesh >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::MeshSource< TOutput >, itk::PathAndImageToPathFilter< TFourierSeriesPath, TSwathMeritImage, OrthogonallyCorrected2DParametricPath >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::PathToPathFilter< TFourierSeriesPath,OrthogonallyCorrected2DParametricPath >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::greater_equal< TImage::PixelType > >, itk::AnchorErodeDilateImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::less_equal< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::greater< TImage::PixelType >, std::less< TImage::PixelType >, std::greater_equal< TImage::PixelType >, std::less_equal< TImage::PixelType > >, itk::AnchorOpenCloseImageFilter< TImage, TKernel, std::less< TImage::PixelType >, std::greater< TImage::PixelType >, std::less_equal< TImage::PixelType >, std::greater_equal< TImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::BoxImageFilter< TInputImage, TOutputImage >, itk::BoxImageFilter< TImageType, TImageType >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, TIdCell >, itk::MultiphaseFiniteDifferenceImageFilter< TInputImage, TFeatureImage, TOutputImage, TFunction, unsigned int >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >, itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MaxFunctor< TImage::PixelType > >, and itk::VanHerkGilWermanErodeDilateImageFilter< TImage, TKernel, MinFunctor< TImage::PixelType > >.
| virtual void itk::ProcessObject::GenerateOutputInformation | ( | ) | [protected, virtual, inherited] |
Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::ImageToVectorImageFilter< TInputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::GridImageSource< TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::PadLabelMapFilter< TInputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType,ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, and itk::ChangeRegionLabelMapFilter< TInputImage >.
| virtual void itk::ProcessObject::GenerateOutputRequestedRegion | ( | DataObject * | output | ) | [protected, virtual, inherited] |
Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.
Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.
Reimplemented in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, and itk::watershed::SegmentTreeGenerator< ScalarType >.
| virtual const bool& itk::ProcessObject::GetAbortGenerateData | ( | ) | [virtual, inherited] |
Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| Command* itk::Object::GetCommand | ( | unsigned long | tag | ) | [inherited] |
Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.
| bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
| virtual bool itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFastCalculations | ( | ) | const [virtual] |
| virtual const FeatureValueVector ::Pointer& itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureMeans | ( | ) | const [virtual] |
Return the feature means and deviations.
| const FeatureValueVectorDataObjectType* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureMeansOutput | ( | ) | const |
| virtual const FeatureValueVector ::Pointer& itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureStandardDeviations | ( | ) | const [virtual] |
Return the feature means and deviations.
| const FeatureValueVectorDataObjectType* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureStandardDeviationsOutput | ( | ) | const |
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
| const DataObject* itk::ProcessObject::GetInput | ( | unsigned int | idx | ) | const [protected, inherited] |
Method used internally for getting an input.
| DataObject* itk::ProcessObject::GetInput | ( | unsigned int | idx | ) | [protected, inherited] |
Method used internally for getting an input.
Reimplemented in itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::ImageFileWriter< TInputImage >, itk::ImageSeriesWriter< TInputImage, TOutputImage >, itk::ImageToPathFilter< TInputImage, TOutputPath >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage,TClassifiedImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel,VDimension > >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage,TOutputImage >, itk::ImageToImageFilter< ImageType,ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TImage,TImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLevelSet,TLevelSet >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSpeedImage,TLevelSet >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::MeshToMeshFilter< TInput, TOutput >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::PathToPathFilter< TFourierSeriesPath,OrthogonallyCorrected2DParametricPath >, and itk::ImageToPathFilter< TInputImage, PolyLineParametricPath< 2 > >.
Referenced by itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >::GetBackgroundImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetEquivalencyTable(), itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::StatisticsLabelMapFilter< TImage, TFeatureImage >::GetFeatureImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetFeatureImage(), itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >::GetGradientImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::GetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputSegmentTree(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::GetLabelInput(), itk::LabelMapFilter< TInputImage, TInputImage >::GetLabelMap(), itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >::GetMarkerImage(), itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >::GetMaskImage(), itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >::GetMaskImage(), itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >::GetMaskImage(), and itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::GetReferenceImage().
| const ImageType* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetInput | ( | ) | const |
Connects the input image for which the features are going to be computed
| DataObjectPointerArray& itk::ProcessObject::GetInputs | ( | ) | [inline, inherited] |
Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.
Definition at line 108 of file itkProcessObject.h.
| const ImageType* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage | ( | ) | const |
Connects the mask image for which the histogram is going to be computed. Optional; for default value see above.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
- Returns:
- A constant reference to this objects MetaDataDictionary.
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
| virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
| MultiThreader* itk::ProcessObject::GetMultiThreader | ( | ) | [inline, inherited] |
Return the multithreader used by this class.
Definition at line 284 of file itkProcessObject.h.
| virtual const char* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::ProcessObject.
| DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs | ( | ) | const [inline, inherited] |
Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.
Definition at line 118 of file itkProcessObject.h.
| DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs | ( | ) | const [inline, inherited] |
Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.
Definition at line 135 of file itkProcessObject.h.
| virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs | ( | ) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
| virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs | ( | ) | [protected, virtual, inherited] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
| virtual const int& itk::ProcessObject::GetNumberOfThreads | ( | ) | [virtual, inherited] |
Get/Set the number of threads to create when executing.
| virtual DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs | ( | ) | const [virtual, inherited] |
Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.
Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.
| virtual const OffsetVector* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetOffsets | ( | ) | [virtual] |
Set the offsets over which the co-occurrence pairs will be computed. Optional; for default value see above.
| const DataObject* itk::ProcessObject::GetOutput | ( | unsigned int | idx | ) | const [protected, inherited] |
Method used internally for getting an output.
| DataObject* itk::ProcessObject::GetOutput | ( | unsigned int | idx | ) | [protected, inherited] |
Method used internally for getting an output.
Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageSource< TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathSource< TOutputPath >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long, TOutputPixel >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< std::complex< TPixel >, NDimension > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TLabelImage >, itk::ImageSource< TDeformationField >, itk::ImageSource< VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< Image< TOutputPixelType, 3 > >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TImage >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< TPixel, VDimension > >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long, TOutputPixel >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TImageType >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< Image< std::complex< TPixel >, VDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TLevelSet >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< TInputImage1 >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long, TOutputPixel >::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< ImageType >, itk::ImageSource< Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TInputImage >, itk::ImageSource< TOutputImage >, itk::ImageSource< TSparseOutputImage >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< TOutputMesh >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::MeshSource< TOutput >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputFourierSeriesPath >, itk::PathSource< PolyLineParametricPath< 2 > >, and itk::PathSource< TOutputPath >.
Referenced by itk::watershed::Segmenter< InputImageType >::GetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetEquivalencyTable(), itk::TwoOutputExampleImageFilter< TImage >::GetInverseOutput(), itk::watershed::Segmenter< InputImageType >::GetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetOutputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetOutputSegmentTree(), and itk::watershed::Segmenter< InputImageType >::GetSegmentTable().
| DataObjectPointerArray& itk::ProcessObject::GetOutputs | ( | ) | [inline, inherited] |
Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.
Definition at line 133 of file itkProcessObject.h.
| virtual const float& itk::ProcessObject::GetProgress | ( | ) | [virtual, inherited] |
Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.
Referenced by itk::XMLFilterWatcher::ShowProgress().
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
| virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag | ( | ) | [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.
| virtual bool itk::ProcessObject::GetReleaseDataFlag | ( | ) | const [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.
| virtual const FeatureNameVector* itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetRequestedFeatures | ( | ) | [virtual] |
Set the desired feature set. Optional, for default value see above.
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
| void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
| virtual DataObjectPointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::MakeOutput | ( | unsigned | int | ) | [protected, virtual] |
Make a DataObject to be used for output output.
Reimplemented from itk::ProcessObject.
| virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, TOutputImage >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::New | ( | ) | [static] |
standard New() method support
Reimplemented from itk::Object.
| virtual void itk::ProcessObject::PopBackInput | ( | ) | [protected, virtual, inherited] |
Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage,TClassifiedImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel,VDimension > >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage,TOutputImage >, itk::ImageToImageFilter< ImageType,ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TImage,TImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLevelSet,TLevelSet >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSpeedImage,TLevelSet >, and itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >.
| virtual void itk::ProcessObject::PopFrontInput | ( | ) | [protected, virtual, inherited] |
Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage,TClassifiedImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel,VDimension > >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage,TOutputImage >, itk::ImageToImageFilter< ImageType,ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TImage,TImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLevelSet,TLevelSet >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSpeedImage,TLevelSet >, and itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >.
| virtual void itk::ProcessObject::PrepareOutputs | ( | ) | [virtual, inherited] |
An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.
Reimplemented in itk::WatershedImageFilter< TInputImage >.
| void itk::LightObject::Print | ( | std::ostream & | os, | |
| Indent | indent = 0 | |||
| ) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< ProcessObject >::Print().
| virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, inherited] |
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::PrintSelf | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ProcessObject.
| virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
| Indent | indent | |||
| ) | const [protected, virtual, inherited] |
| virtual void itk::ProcessObject::PropagateRequestedRegion | ( | DataObject * | output | ) | [virtual, inherited] |
Send the requested region information back up the pipeline (to the filters that preceed this one).
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >, and itk::VTKImageImport< TOutputImage >.
| virtual void itk::ProcessObject::PropagateResetPipeline | ( | ) | [protected, virtual, inherited] |
Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.
| virtual void itk::ProcessObject::PushBackInput | ( | const DataObject * | input | ) | [protected, virtual, inherited] |
Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage,TClassifiedImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel,VDimension > >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage,TOutputImage >, itk::ImageToImageFilter< ImageType,ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TImage,TImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLevelSet,TLevelSet >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSpeedImage,TLevelSet >, and itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >.
| virtual void itk::ProcessObject::PushFrontInput | ( | const DataObject * | input | ) | [protected, virtual, inherited] |
Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< TInputImage, Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage,TClassifiedImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel,VDimension > >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TInputImage,TOutputImage >, itk::ImageToImageFilter< ImageType,ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TImage,TImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TLevelSet,TLevelSet >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSpeedImage,TLevelSet >, and itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >.
| virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
| virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff | ( | ) | [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.
| virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn | ( | ) | [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.
| void itk::ProcessObject::ReleaseDataFlagOff | ( | ) | [inline, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.
Definition at line 257 of file itkProcessObject.h.
| void itk::ProcessObject::ReleaseDataFlagOn | ( | ) | [inline, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.
Definition at line 256 of file itkProcessObject.h.
| virtual void itk::ProcessObject::ReleaseInputs | ( | ) | [protected, virtual, inherited] |
A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.
- See also:
- InPlaceImageFilter::ReleaseInputs()
Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1,Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TLabelImage,TOutputImage >, itk::InPlaceImageFilter< TInputImage1,TOutputImage >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TInputImage,TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >,Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TImage, TImage >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< FeatureImageType,ImageType >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceLabelMapFilter< TImage >, and itk::InPlaceLabelMapFilter< TInputImage >.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| virtual void itk::ProcessObject::RemoveInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
| void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
| virtual void itk::ProcessObject::RemoveOutput | ( | DataObject * | output | ) | [protected, virtual, inherited] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
| virtual void itk::ProcessObject::ResetPipeline | ( | ) | [virtual, inherited] |
| virtual void itk::ProcessObject::RestoreInputReleaseDataFlags | ( | ) | [protected, virtual, inherited] |
Restore the cached input ReleaseDataFlags.
| virtual void itk::ProcessObject::SetAbortGenerateData | ( | bool | _arg | ) | [virtual, inherited] |
Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
| void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
| virtual void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetFastCalculations | ( | bool | _arg | ) | [virtual] |
| static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInput | ( | const ImageType * | ) |
Connects the input image for which the features are going to be computed
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInsidePixelValue | ( | PixelType | InsidePixelValue | ) |
Set the pixel value of the mask that should be considered "inside" the object. Optional; for default value see above.
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage | ( | const ImageType * | ) |
Connects the mask image for which the histogram is going to be computed. Optional; for default value see above.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
- Returns:
- Set the MetaDataDictionary
| virtual void itk::ProcessObject::SetNthInput | ( | unsigned int | num, | |
| DataObject * | input | |||
| ) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.
Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetFeatureImage(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().
| virtual void itk::ProcessObject::SetNthOutput | ( | unsigned int | num, | |
| DataObject * | output | |||
| ) | [protected, virtual, inherited] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< InputImageType >::SetSegmentTable().
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetNumberOfBinsPerAxis | ( | unsigned | int | ) |
Set number of histogram bins along each axis. Optional; for default value see above.
| void itk::ProcessObject::SetNumberOfInputs | ( | unsigned int | num | ) | [protected, inherited] |
Called to allocate the input array. Copies old inputs.
| void itk::ProcessObject::SetNumberOfOutputs | ( | unsigned int | num | ) | [protected, inherited] |
Called to allocate the output array. Copies old outputs.
| virtual void itk::ProcessObject::SetNumberOfRequiredInputs | ( | unsigned int | _arg | ) | [protected, virtual, inherited] |
Protected methods for setting inputs. Subclasses make use of them for setting input.
| virtual void itk::ProcessObject::SetNumberOfRequiredOutputs | ( | unsigned int | _arg | ) | [protected, virtual, inherited] |
Protected methods for setting outputs. Subclasses make use of them for getting output.
| virtual void itk::ProcessObject::SetNumberOfThreads | ( | int | _arg | ) | [virtual, inherited] |
Get/Set the number of threads to create when executing.
Reimplemented in itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
| virtual void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetOffsets | ( | const OffsetVector * | _arg | ) | [virtual] |
Set the offsets over which the co-occurrence pairs will be computed. Optional; for default value see above.
| void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax | ( | PixelType | min, | |
| PixelType | max | |||
| ) |
Set the min and max (inclusive) pixel value that will be used for feature calculations. Optional; for default value see above.
| virtual void itk::ProcessObject::SetProgress | ( | float | _arg | ) | [virtual, inherited] |
Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.
| virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
| virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag | ( | bool | _arg | ) | [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.
| virtual void itk::ProcessObject::SetReleaseDataFlag | ( | bool | flag | ) | [virtual, inherited] |
Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.
| virtual void itk::Statistics::ScalarImageToTextureFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetRequestedFeatures | ( | const FeatureNameVector * | _arg | ) | [virtual] |
Set the desired feature set. Optional, for default value see above.
| virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
| virtual void itk::ProcessObject::Update | ( | ) | [virtual, inherited] |
Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.
Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.
| virtual void itk::ProcessObject::UpdateLargestPossibleRegion | ( | ) | [virtual, inherited] |
Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().
| virtual void itk::ProcessObject::UpdateOutputData | ( | DataObject * | output | ) | [virtual, inherited] |
Actually generate new output
Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.
| virtual void itk::ProcessObject::UpdateOutputInformation | ( | ) | [virtual, inherited] |
Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.
Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::VTKImageImport< TOutputImage >, and itk::watershed::Segmenter< InputImageType >.
| void itk::ProcessObject::UpdateProgress | ( | float | amount | ) | [inherited] |
Update the progress of the process object.
Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.
Member Data Documentation
TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited] |
Time when GenerateOutputInformation was last called.
Definition at line 431 of file itkProcessObject.h.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.
bool itk::ProcessObject::m_Updating [protected, inherited] |
These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.
Definition at line 428 of file itkProcessObject.h.
The documentation for this class was generated from the following file:
