#include <itkWatershedSegmenter.h>
Inheritance diagram for itk::watershed::Segmenter< TInputImage >:


Definition at line 90 of file itkWatershedSegmenter.h.
| typedef BoundaryType::FlatHashValueType itk::watershed::Segmenter< TInputImage >::BoundaryFlatHashValueType |
Definition at line 106 of file itkWatershedSegmenter.h.
| typedef BoundaryType::IndexType itk::watershed::Segmenter< TInputImage >::BoundaryIndexType |
Definition at line 105 of file itkWatershedSegmenter.h.
| typedef Boundary<InputPixelType, itkGetStaticConstMacro(ImageDimension)> itk::watershed::Segmenter< TInputImage >::BoundaryType |
Definition at line 104 of file itkWatershedSegmenter.h.
| typedef BoundaryType::Pointer itk::watershed::Segmenter< TInputImage >::BoundaryTypePointer |
Definition at line 124 of file itkWatershedSegmenter.h.
| typedef SmartPointer<const Self> itk::watershed::Segmenter< TInputImage >::ConstPointer |
| typedef DataObject::Pointer itk::watershed::Segmenter< TInputImage >::DataObjectPointer |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
Definition at line 108 of file itkWatershedSegmenter.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 itk::hash_map<unsigned long, edge_table_t, itk::hash<unsigned long> > itk::watershed::Segmenter< TInputImage >::edge_table_hash_t [protected] |
Definition at line 261 of file itkWatershedSegmenter.h.
typedef itk::hash_map<unsigned long, InputPixelType, itk::hash<unsigned long> > itk::watershed::Segmenter< TInputImage >::edge_table_t [protected] |
Table for storing tables of edges. This is convenient in generating the segment table, even though the edge tables are stored as ordered lists. An ``edge'' in this context is synonymous with a segment ``adjacency''.
Definition at line 258 of file itkWatershedSegmenter.h.
typedef itk::hash_map<unsigned long, flat_region_t, itk::hash<unsigned long> > itk::watershed::Segmenter< TInputImage >::flat_region_table_t [protected] |
Table for storing flat region information.
Definition at line 244 of file itkWatershedSegmenter.h.
| typedef InputImageType::RegionType itk::watershed::Segmenter< TInputImage >::ImageRegionType |
Definition at line 102 of file itkWatershedSegmenter.h.
| typedef TInputImage itk::watershed::Segmenter< TInputImage >::InputImageType |
Define image types and dimensionality
Definition at line 98 of file itkWatershedSegmenter.h.
| typedef InputImageType::Pointer itk::watershed::Segmenter< TInputImage >::InputImageTypePointer |
Typedefs necessary on microsoft VC++ to avoid internal compiler errors
Definition at line 117 of file itkWatershedSegmenter.h.
| typedef InputImageType::PixelType itk::watershed::Segmenter< TInputImage >::InputPixelType |
Definition at line 103 of file itkWatershedSegmenter.h.
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited] |
Define the type of the reference count according to the target. This allows the use of atomic operations
Definition at line 139 of file itkLightObject.h.
| typedef Image<unsigned long, itkGetStaticConstMacro(ImageDimension)> itk::watershed::Segmenter< TInputImage >::OutputImageType |
Definition at line 101 of file itkWatershedSegmenter.h.
| typedef OutputImageType::Pointer itk::watershed::Segmenter< TInputImage >::OutputImageTypePointer |
Definition at line 122 of file itkWatershedSegmenter.h.
| typedef SmartPointer<Self> itk::watershed::Segmenter< TInputImage >::Pointer |
| typedef SegmentTable<InputPixelType> itk::watershed::Segmenter< TInputImage >::SegmentTableType |
Definition at line 107 of file itkWatershedSegmenter.h.
| typedef SegmentTableType::Pointer itk::watershed::Segmenter< TInputImage >::SegmentTableTypePointer |
Definition at line 123 of file itkWatershedSegmenter.h.
| typedef Segmenter itk::watershed::Segmenter< TInputImage >::Self |
Standard self typedefs
Reimplemented from itk::ProcessObject.
Definition at line 95 of file itkWatershedSegmenter.h.
| typedef ProcessObject itk::watershed::Segmenter< TInputImage >::Superclass |
Methods to implement smart pointers and work with the itk object factory
Reimplemented from itk::ProcessObject.
Definition at line 113 of file itkWatershedSegmenter.h.
| itk::watershed::Segmenter< TInputImage >::Segmenter | ( | ) | [protected] |
| itk::watershed::Segmenter< TInputImage >::Segmenter | ( | const Self & | ) | [inline, protected] |
Definition at line 264 of file itkWatershedSegmenter.h.
| virtual itk::watershed::Segmenter< TInputImage >::~Segmenter | ( | ) | [protected, virtual] |
| 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] |
| void itk::watershed::Segmenter< TInputImage >::AnalyzeBoundaryFlow | ( | InputImageTypePointer | , | |
| flat_region_table_t & | , | |||
| InputPixelType | ||||
| ) | [protected] |
Performs a gradient descent connected component analysis at the boundaries of the images that border other image chunks. Useful only in data streaming applications.
| static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
| void itk::watershed::Segmenter< TInputImage >::BuildRetainingWall | ( | InputImageTypePointer | , | |
| ImageRegionType | , | |||
| InputPixelType | ||||
| ) | [protected] |
Fills boundary pixels with a specified value. Used by labeling methods to build a very high ``wall'' around the image so that gradient descent does not need to watch boundaries.
| 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().
| void itk::watershed::Segmenter< TInputImage >::CollectBoundaryInformation | ( | flat_region_table_t & | ) | [protected] |
Traverses each boundary and fills in the data needed for joining streamed chunks of an image volume. Only necessary for streaming applications.
| 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.
| void itk::watershed::Segmenter< TInputImage >::DescendFlatRegions | ( | flat_region_table_t & | , | |
| ImageRegionType | ||||
| ) | [protected] |
Associates each flat region with a local minimum and relabels accordingly.
| 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, TRealType >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::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::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, 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.
| virtual void itk::watershed::Segmenter< TInputImage >::GenerateConnectivity | ( | ) | [protected, virtual] |
Constructs the connectivity list and the corresponding set of directional Offset indicies.
| void itk::watershed::Segmenter< TInputImage >::GenerateData | ( | ) | [virtual] |
Standard non-threaded pipeline execution method.
Reimplemented from itk::ProcessObject.
| void itk::watershed::Segmenter< TInputImage >::GenerateInputRequestedRegion | ( | ) | [protected, virtual] |
This method asks for an image region that is one pixel larger at each boundary than the region being processed. This single pixel expansion represents an overlap with adjacent image chunks
Reimplemented from itk::ProcessObject.
| 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, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::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::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, 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< TI