#include <itkPointSetToImageRegistrationMethod.h>
Inheritance diagram for itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >:
This Class define the generic interface for a registration method.
This class is templated over the type of the PointSet and the Image to be registered. A generic Transform is used by this class. That allows to select at run time the particular type of transformation that is to be applied for registering the images.
This method use a generic Metric in order to compare the PointSet and the Image. The final goal of the registration method is to find the set of parameters of the Transformation that optimizes the metric.
The registration method also support a generic optimizer that can be selected at run-time. The only restriction for the optimizer is that it should be able to operate in single-valued cost functions given that the metrics used to compare PointSet with Images provide a single value as output.
The terms : FixedPointSet and MovingImage are used in this class to indicate that the image is being mapped by the transform.
This class uses the coordinate system of the Fixed PointSet as a reference and searchs for a Transform that will map points from the space of the Fixed PointSet to the space of the Moving image.
For doing so, a Metric will be continously applied to compare the Fixed image with the Transformed Moving image. This process also requires to interpolate values from the Moving image.
Definition at line 63 of file itkPointSetToImageRegistrationMethod.h.
| typedef SmartPointer<const Self> itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::ConstPointer |
Reimplemented from itk::ProcessObject.
Definition at line 70 of file itkPointSetToImageRegistrationMethod.h.
| typedef DataObject::Pointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::DataObjectPointer |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
Definition at line 113 of file itkPointSetToImageRegistrationMethod.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 FixedPointSetType::ConstPointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::FixedPointSetConstPointer |
Definition at line 80 of file itkPointSetToImageRegistrationMethod.h.
| typedef TFixedPointSet itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::FixedPointSetType |
Type of the Fixed PointSet.
Definition at line 76 of file itkPointSetToImageRegistrationMethod.h.
| typedef InterpolatorType::Pointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::InterpolatorPointer |
Definition at line 103 of file itkPointSetToImageRegistrationMethod.h.
| typedef MetricType::InterpolatorType itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::InterpolatorType |
Type of the Interpolator.
Definition at line 102 of file itkPointSetToImageRegistrationMethod.h.
| typedef MetricType::Pointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::MetricPointer |
Definition at line 89 of file itkPointSetToImageRegistrationMethod.h.
| typedef PointSetToImageMetric< FixedPointSetType, MovingImageType > itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::MetricType |
Type of the metric.
Definition at line 88 of file itkPointSetToImageRegistrationMethod.h.
| typedef MovingImageType::ConstPointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::MovingImageConstPointer |
Definition at line 84 of file itkPointSetToImageRegistrationMethod.h.
| typedef TMovingImage itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::MovingImageType |
Type of the Moving image.
Definition at line 83 of file itkPointSetToImageRegistrationMethod.h.
| typedef SingleValuedNonLinearOptimizer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::OptimizerType |
Type of the optimizer.
Definition at line 106 of file itkPointSetToImageRegistrationMethod.h.
| typedef MetricType::TransformParametersType itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::ParametersType |
Type of the Transformation parameters This is the same type used to represent the search space of the optimization algorithm
Definition at line 110 of file itkPointSetToImageRegistrationMethod.h.
| typedef SmartPointer<Self> itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::Pointer |
Reimplemented from itk::ProcessObject.
Definition at line 69 of file itkPointSetToImageRegistrationMethod.h.
| typedef PointSetToImageRegistrationMethod itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::Self |
Standard class typedefs.
Reimplemented from itk::ProcessObject.
Definition at line 67 of file itkPointSetToImageRegistrationMethod.h.
| typedef ProcessObject itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::Superclass |
Reimplemented from itk::ProcessObject.
Definition at line 68 of file itkPointSetToImageRegistrationMethod.h.
| typedef TransformOutputType::ConstPointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::TransformOutputConstPointer |
Definition at line 99 of file itkPointSetToImageRegistrationMethod.h.
| typedef TransformOutputType::Pointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::TransformOutputPointer |
Definition at line 98 of file itkPointSetToImageRegistrationMethod.h.
| typedef DataObjectDecorator< TransformType > itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::TransformOutputType |
Type for the output: Using Decorator pattern for enabling the Transform to be passed in the data pipeline
Definition at line 97 of file itkPointSetToImageRegistrationMethod.h.
| typedef TransformType::Pointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::TransformPointer |
Definition at line 93 of file itkPointSetToImageRegistrationMethod.h.
| typedef MetricType::TransformType itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::TransformType |
Type of the Transform .
Definition at line 92 of file itkPointSetToImageRegistrationMethod.h.
| itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::PointSetToImageRegistrationMethod | ( | ) | [protected] |
| virtual itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::~PointSetToImageRegistrationMethod | ( | ) | [inline, protected, virtual] |
Definition at line 174 of file itkPointSetToImageRegistrationMethod.h.
| virtual void itk::ProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
| virtual void itk::ProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
| virtual void itk::ProcessObject::AddInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | const [inherited] |
| unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
| Command * | ||||
| ) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
| virtual void itk::ProcessObject::AddOutput | ( | DataObject * | output | ) | [protected, virtual, inherited] |
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| virtual void itk::ProcessObject::CacheInputReleaseDataFlags | ( | ) | [protected, virtual, inherited] |
Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().
| virtual LightObject::Pointer itk::Object::CreateAnother | ( | ) | const [virtual, inherited] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
| virtual void itk::Object::DebugOff | ( | ) | const [virtual, inherited] |
Turn debugging output off.
| virtual void itk::Object::DebugOn | ( | ) | const [virtual, inherited] |
Turn debugging output on.
| virtual void itk::LightObject::Delete | ( | ) | [virtual, inherited] |
Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.
| virtual void itk::ProcessObject::EnlargeOutputRequestedRegion | ( | DataObject * | ) | [inline, virtual, inherited] |
Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.
Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.
Definition at line 225 of file itkProcessObject.h.
| void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GenerateData | ( | ) | [protected, virtual] |
Method invoked by the pipeline in order to trigger the computation of the registration.
Reimplemented from itk::ProcessObject.
| virtual void itk::ProcessObject::GenerateInputRequestedRegion | ( | ) | [protected, virtual, inherited] |
What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).
Reimplemented in itk::CurvatureFlowImageFilter< TInputImage, TOutputImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::HistogramMatchingImageFilter< TInputImage, TOutputImage, THistogramMeasurement >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::OtsuMultipleThresholdsImageFilter< TInputImage, TOutputImage >, itk::OtsuThresholdImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::AdaptiveHistogramEqualizationImageFilter< TImageType >, itk::BilateralImageFilter< TInputImage, TOutputImage >, itk::BinaryMedianImageFilter< TInputImage, TOutputImage >, itk::BinaryMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinomialBlurImageFilter< TInputImage, TOutputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BloxBoundaryPointToCoreAtomImageFilter< dim >, itk::BloxBoundaryProfileImageToBloxCoreAtomImageFilter< TInputImage, TOutputImage, TSourceImage >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::ChangeInformationImageFilter< TInputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DeformationFieldJacobianDeterminantFilter< TInputImage, TRealType, TOutputImage >, itk::DerivativeImageFilter< TInputImage, TOutputImage >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GradientImageFilter< TInputImage, TOperatorValueType, TOutputValueType >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::GradientMagnitudeImageFilter< TInputImage, TOutputImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianImageFilter< TInputImage, TOutputImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::LaplacianSharpeningImageFilter< TInputImage, TOutputImage >, itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::MeanImageFilter< TInputImage, TOutputImage >, itk::MedianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::MirrorPadImageFilter< TInputImage, TOutputImage >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >, itk::NoiseImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< TInputImage, TOutputImage >, itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ObjectMorphologyImageFilter< TInputImage, TOutputImage, TKernel >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::RelabelComponentImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SimpleContourExtractorImageFilter< TInputImage, TOutputImage >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::SobelEdgeDetectionImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorGradientMagnitudeImageFilter< TInputImage, TRealType, TOutputImage >, itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VotingBinaryImageFilter< TInputImage, TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::WrapPadImageFilter< TInputImage, TOutputImage >, itk::ZeroCrossingImageFilter< TInputImage, TOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::MeshSource< TOutputMesh >, itk::PathAndImageToPathFilter< TInputPath, TInputImage, TOutputPath >, itk::PathToPathFilter< TInputPath, TOutputPath >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::BinaryMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::BinaryMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::ContourExtractor2DImageFilter< TInputImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >, itk::CannyEdgeDetectionImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::FiniteDifferenceImageFilter< TDeformationField, TDeformationField >, itk::FiniteDifferenceImageFilter< TInputImage, TSparseOutputImage >, itk::FiniteDifferenceImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::FiniteDifferenceImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< itk::Image< TInputPixelType, 2 >, itk::Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< itk::Image< itk::SymmetricSecondRankTensor< double, 3 >, 3 >, itk::Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< itk::BloxBoundaryPointImage< dim >, itk::BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TFeatureImageType, Superclass::ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< std::complex< TPixel >, Dimension >, itk::Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TReferenceImagePixelType, 3 >, itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TPixel, Dimension >, itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TInputVectorImage, itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TImage, TImage >, itk::MeshSource< itk::VoronoiDiagram2D< TCoordType > >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< itk::Mesh< TPixelType, 3 > >, itk::PathAndImageToPathFilter< TFourierSeriesPath, TSwathMeritImage, itk::OrthogonallyCorrected2DParametricPath >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TFourierSeriesPath, itk::OrthogonallyCorrected2DParametricPath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.
| 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::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, Dimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, Dimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField >, 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::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::NonThreadedShrinkImageFilter< 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::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::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TFeatureImageType, Superclass::ImageType, itk::Functor::Cast< TFeatureImageType::PixelType, Superclass::ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, itk::Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, itk::Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramLogProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramIntensityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramProbabilityFunction< unsigned long > >, itk::HistogramToImageFilter< THistogram, itk::Function::HistogramEntropyFunction< unsigned long > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MedianAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, and itk::ProjectionImageFilter< TInputImage, TOutputImage, itk::Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >.
| 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< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>, and itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >.
| 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 const FixedPointSetType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetFixedPointSet | ( | ) | [virtual] |
| static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
| virtual const ParametersType& itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetInitialTransformParameters | ( | ) | [virtual] |
| const DataObject* itk::ProcessObject::GetInput | ( | unsigned int | idx | ) | const [protected, inherited] |
| 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::ImageToImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< itk::Image< TInputPixelType, 2 >, itk::Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< itk::Image< itk::SymmetricSecondRankTensor< double, 3 >, 3 >, itk::Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< itk::BloxBoundaryPointImage< dim >, itk::BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TFeatureImageType, Superclass::ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< std::complex< TPixel >, Dimension >, itk::Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TReferenceImagePixelType, 3 >, itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TPixel, Dimension >, itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TInputVectorImage, itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< TImage, TImage >, itk::MeshToMeshFilter< itk::Mesh< TPixelType, 3 >, itk::Mesh< TPixelType, 3 > >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TFourierSeriesPath, itk::OrthogonallyCorrected2DParametricPath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, and itk::ImageToPathFilter< TInputImage, itk::PolyLineParametricPath< 2 > >.
Referenced by itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetEquivalencyTable(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::GetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::GetInputImage(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::GetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetInputImage(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::GetInputSegmentTable(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::GetInputSegmentTree(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::GetLabelInput(), and itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >::GetMarkerImage().
| 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.
| virtual InterpolatorType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetInterpolator | ( | ) | [virtual] |
| virtual const ParametersType& itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetLastTransformParameters | ( | ) | [virtual] |
Get the last transformation parameters visited by the optimizer.
| const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
| MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
| virtual MetricType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetMetric | ( | ) | [virtual] |
| virtual const MovingImageType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetMovingImage | ( | ) | [virtual] |
| unsigned long itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetMTime | ( | ) | const [virtual] |
Method to return the latest modified time of this object or any of its cached ivars
Reimplemented from itk::Object.
| MultiThreader* itk::ProcessObject::GetMultiThreader | ( | ) | [inline, inherited] |
Return the multithreader used by this class.
Definition at line 284 of file itkProcessObject.h.
| virtual const char* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::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] |
Definition at line 135 of file itkProcessObject.h.
| virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs | ( | ) | [protected, virtual, inherited] |
| virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs | ( | ) | [protected, virtual, inherited] |
| virtual const int& itk::ProcessObject::GetNumberOfThreads | ( | ) | [virtual, inherited] |
| 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 >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.
| virtual OptimizerType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetOptimizer | ( | ) | [virtual] |
| const DataObject* itk::ProcessObject::GetOutput | ( | unsigned int | idx | ) | const [protected, inherited] |
| 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< itk::Image< itk::Function::HistogramEntropyFunction< unsigned long >::TOutputImage::PixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TSparseOutputImage >, itk::ImageSource< TLevelSet >, itk::ImageSource< Superclass::ImageType >, itk::ImageSource< itk::Image< TPixel, 3 > >, itk::ImageSource< itk::Image< TPixel, Dimension > >, itk::ImageSource< TInputImage >, itk::ImageSource< itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TImage >, itk::ImageSource< itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< itk::BloxCoreAtomImage< dim > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< itk::Image< itk::Function::HistogramLogProbabilityFunction< unsigned long >::TOutputImage::PixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TImageType >, itk::ImageSource< itk::Image< TPixel, VImageDimension > >, itk::ImageSource< itk::Image< TOutputPixelType, 2 > >, itk::ImageSource< TInputImage1 >, itk::ImageSource< itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< itk::Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TLabelImage >, itk::ImageSource< itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< itk::Image< itk::Function::HistogramProbabilityFunction< unsigned long >::TOutputImage::PixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageSource< itk::Image< itk::Function::HistogramIntensityFunction< unsigned long >::TOutputImage::PixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< TDeformationField >, itk::ImageSource< itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::MeshSource< itk::VoronoiDiagram2D< TCoordType > >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< itk::Mesh< TPixelType, 3 > >, itk::PathSource< itk::OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputChainCodePath >, itk::PathSource< TOutputFourierSeriesPath >, and itk::PathSource< itk::PolyLineParametricPath< 2 > >.
Referenced by itk::watershed::Segmenter< TInputImage >::GetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetEquivalencyTable(), itk::TwoOutputExampleImageFilter< TImage >::GetInverseOutput(), itk::watershed::Segmenter< TInputImage >::GetOutputImage(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::GetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetOutputImage(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::GetOutputSegmentTree(), and itk::watershed::Segmenter< TInputImage >::GetSegmentTable().
| const TransformOutputType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetOutput | ( | ) | const |
Returns the transform resulting from the registration process
| 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.
| virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 98 of file itkLightObject.h.
| virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag | ( | ) | [virtual, inherited] |
| virtual bool itk::ProcessObject::GetReleaseDataFlag | ( | ) | const [virtual, inherited] |
| virtual TransformType* itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::GetTransform | ( | ) | [virtual] |
| static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
| static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
| bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
| void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::Initialize | ( | ) | throw (ExceptionObject) |
Initialize by setting the interconnects between the components.
| 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::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::MakeOutput | ( | unsigned int | idx | ) | [virtual] |
Make a DataObject of the correct type to be used as the specified 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::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
| static Pointer itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::New | ( | ) | [static] |
Method for creation through the object factory.
Reimplemented from itk::Object.
| virtual void itk::ProcessObject::PopBackInput | ( | ) | [protected, virtual, inherited] |
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< itk::Image< TInputPixelType, 2 >, itk::Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< itk::Image< itk::SymmetricSecondRankTensor< double, 3 >, 3 >, itk::Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< itk::BloxBoundaryPointImage< dim >, itk::BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TFeatureImageType, Superclass::ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< std::complex< TPixel >, Dimension >, itk::Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TReferenceImagePixelType, 3 >, itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TPixel, Dimension >, itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TInputVectorImage, itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, and itk::ImageToImageFilter< TImage, TImage >.
| virtual void itk::ProcessObject::PopFrontInput | ( | ) | [protected, virtual, inherited] |
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< itk::Image< TInputPixelType, 2 >, itk::Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< itk::Image< itk::SymmetricSecondRankTensor< double, 3 >, 3 >, itk::Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< itk::BloxBoundaryPointImage< dim >, itk::BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TFeatureImageType, Superclass::ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< std::complex< TPixel >, Dimension >, itk::Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TReferenceImagePixelType, 3 >, itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TPixel, Dimension >, itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TInputVectorImage, itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, and itk::ImageToImageFilter< TImage, TImage >.
| 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< itk::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::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::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::VTKImageImport< TOutputImage >.
| virtual void itk::ProcessObject::PropagateResetPipeline | ( | ) | [protected, virtual, inherited] |
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< Superclass::ImageType, Superclass::ImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< itk::Image< TInputPixelType, 2 >, itk::Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< itk::Image< itk::SymmetricSecondRankTensor< double, 3 >, 3 >, itk::Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< itk::BloxBoundaryPointImage< dim >, itk::BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TFeatureImageType, Superclass::ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< std::complex< TPixel >, Dimension >, itk::Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TReferenceImagePixelType, 3 >, itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TPixel, Dimension >, itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TInputVectorImage, itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, and itk::ImageToImageFilter< TImage, TImage >.
| virtual void itk::ProcessObject::PushFrontInput | ( | const DataObject * | input | ) | [protected, virtual, inherited] |
Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< Superclass::ImageType, Superclass::ImageType >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< itk::Image< TInputPixelType, 2 >, itk::Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< itk::Image< itk::SymmetricSecondRankTensor< double, 3 >, 3 >, itk::Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< itk::BloxBoundaryPointImage< dim >, itk::BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< TFeatureImageType, Superclass::ImageType >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned char,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< std::complex< TPixel >, Dimension >, itk::Image< TPixel, Dimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TReferenceImagePixelType, 3 >, itk::Image< itk::DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< itk::Image< TPixel, Dimension >, itk::Image< std::complex< TPixel >, Dimension > >, itk::ImageToImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TInputVectorImage, itk::Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TInputImage, itk::BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TInputImage, itk::Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, itk::Image< itk::CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, itk::BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, and itk::ImageToImageFilter< TImage, TImage >.
| 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] |
| virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn | ( | ) | [virtual, inherited] |
| void itk::ProcessObject::ReleaseDataFlagOff | ( | ) | [inline, inherited] |
Definition at line 257 of file itkProcessObject.h.
| void itk::ProcessObject::ReleaseDataFlagOn | ( | ) | [inline, inherited] |
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.
Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TFeatureImageType, Superclass::ImageType >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TInputImage1, itk::Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, and itk::InPlaceImageFilter< TImage, TImage >.
| void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
| virtual void itk::ProcessObject::RemoveInput | ( | DataObject * | input | ) | [protected, virtual, inherited] |
| 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] |
| 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::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetFixedPointSet | ( | const FixedPointSetType * | _arg | ) | [virtual] |
Set/Get the Fixed image.
| 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().
| virtual void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetInitialTransformParameters | ( | const ParametersType & | param | ) | [virtual] |
Set/Get the initial transformation parameters.
| virtual void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetInterpolator | ( | InterpolatorType * | _arg | ) | [virtual] |
Set/Get the Interpolator.
| void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
| virtual void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetMetric | ( | MetricType * | _arg | ) | [virtual] |
Set/Get the Metric.
| virtual void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetMovingImage | ( | const MovingImageType * | _arg | ) | [virtual] |
Set/Get the Moving image.
| 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.
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, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetFeatureImage(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetInputImage(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< InputImageType::PixelType >::SetInputSegmentTable(), itk::watershed::Relabeler< InputImageType::PixelType, 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< TInputImage >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< TInputImage >::SetOutputImage(), itk::watershed::Relabeler< InputImageType::PixelType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< TInputImage >::SetSegmentTable().
| 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] |
| virtual void itk::ProcessObject::SetNumberOfRequiredOutputs | ( | unsigned int | _arg | ) | [protected, virtual, inherited] |
| virtual void itk::ProcessObject::SetNumberOfThreads | ( | int | _arg | ) | [virtual, inherited] |
Get/Set the number of threads to create when executing.
| virtual void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetOptimizer | ( | OptimizerType * | _arg | ) | [virtual] |
Set/Get the Optimizer.
| 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::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::SetTransform | ( | TransformType * | _arg | ) | [virtual] |
Set/Get the Transfrom.
| void itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::StartRegistration | ( | void | ) |
Method that initiates the registration.
| 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 >, and itk::VTKImageImport< TOutputImage >.
| 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.
TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited] |
Time when GenerateOutputInformation was last called.
Definition at line 431 of file itkProcessObject.h.
volatile int itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 119 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 122 of file itkLightObject.h.
bool itk::ProcessObject::m_Updating [protected, inherited] |
This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.
Definition at line 428 of file itkProcessObject.h.
1.5.1 written by Dimitri van Heesch,
© 1997-2000