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itk::watershed::Segmenter< TInputImage > Class Template Reference
[Watershed-based Segmentation Filters]

#include <itkWatershedSegmenter.h>

Inheritance diagram for itk::watershed::Segmenter< TInputImage >:
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List of all members.

Classes

struct  connectivity_t
struct  flat_region_t

Public Types

typedef
BoundaryType::FlatHashValueType 
BoundaryFlatHashValueType
typedef BoundaryType::IndexType BoundaryIndexType
typedef Boundary
< InputPixelType,
itkGetStaticConstMacro(ImageDimension)> 
BoundaryType
typedef BoundaryType::Pointer BoundaryTypePointer
typedef DataObject::Pointer DataObjectPointer
typedef std::vector
< DataObjectPointer
DataObjectPointerArray
typedef
DataObjectPointerArray::size_type 
DataObjectPointerArraySizeType
typedef InputImageType::RegionType ImageRegionType
typedef TInputImage InputImageType
typedef InputImageType::Pointer InputImageTypePointer
typedef InputImageType::PixelType InputPixelType
typedef Image< unsigned long,
itkGetStaticConstMacro(ImageDimension)> 
OutputImageType
typedef OutputImageType::Pointer OutputImageTypePointer
typedef SegmentTable
< InputPixelType
SegmentTableType
typedef SegmentTableType::Pointer SegmentTableTypePointer
typedef Segmenter Self

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual void EnlargeOutputRequestedRegion (DataObject *)
void GenerateData ()
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
DataObjectPointerArrayGetInputs ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
MultiThreaderGetMultiThreader ()
DataObjectPointerArraySizeType GetNumberOfInputs () const
virtual
DataObjectPointerArraySizeType 
GetNumberOfValidRequiredInputs () const
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual DataObjectPointer MakeOutput (unsigned int idx)
virtual void Modified () const
virtual void PrepareOutputs ()
void Print (std::ostream &os, Indent indent=0) const
virtual void PropagateRequestedRegion (DataObject *output)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void ResetPipeline ()
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void UnRegister () const
virtual void Update ()
virtual void UpdateLargestPossibleRegion ()
virtual void UpdateOutputData (DataObject *output)
void UpdateProgress (float amount)

InputImageTypeGetInputImage (void)
void SetInputImage (InputImageType *img)

OutputImageTypeGetOutputImage (void)
void SetOutputImage (OutputImageType *img)

SegmentTableTypeGetSegmentTable (void)
void SetSegmentTable (SegmentTableType *s)

BoundaryTypeGetBoundary (void)
void SetBoundary (BoundaryType *b)

void SetLargestPossibleRegion (ImageRegionType reg)
ImageRegionType GetLargestPossibleRegion () const

virtual void SetCurrentLabel (unsigned long _arg)
virtual unsigned long GetCurrentLabel () const

virtual void SetThreshold (double _arg)
virtual double GetThreshold () const

virtual void SetDoBoundaryAnalysis (bool _arg)
virtual bool GetDoBoundaryAnalysis () const

virtual bool GetSortEdgeLists () const
virtual void SetSortEdgeLists (bool _arg)

DataObjectPointerArrayGetOutputs ()
DataObjectPointerArraySizeType GetNumberOfOutputs () const

virtual void SetReleaseDataFlag (bool flag)
virtual bool GetReleaseDataFlag () const
void ReleaseDataFlagOn ()
void ReleaseDataFlagOff ()

virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool & GetReleaseDataBeforeUpdateFlag ()
virtual void ReleaseDataBeforeUpdateFlagOn ()
virtual void ReleaseDataBeforeUpdateFlagOff ()

virtual void SetNumberOfThreads (int _arg)
virtual const int & GetNumberOfThreads ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static void RelabelImage (OutputImageTypePointer, ImageRegionType, EquivalencyTable::Pointer)

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Static Public Attributes

static const unsigned int ImageDimension = TInputImage::ImageDimension
static short NULL_FLOW
static unsigned long NULL_LABEL

Protected Types

typedef itk::hash_map
< unsigned long, edge_table_t,
itk::hash< unsigned long > > 
edge_table_hash_t
typedef itk::hash_map
< unsigned long,
InputPixelType, itk::hash
< unsigned long > > 
edge_table_t
typedef itk::hash_map
< unsigned long, flat_region_t,
itk::hash< unsigned long > > 
flat_region_table_t

typedef int InternalReferenceCountType

Protected Member Functions

void AnalyzeBoundaryFlow (InputImageTypePointer, flat_region_table_t &, InputPixelType)
void BuildRetainingWall (InputImageTypePointer, ImageRegionType, InputPixelType)
virtual void CacheInputReleaseDataFlags ()
void CollectBoundaryInformation (flat_region_table_t &)
void DescendFlatRegions (flat_region_table_t &, ImageRegionType)
virtual void GenerateConnectivity ()
virtual void GenerateOutputInformation ()
void GradientDescent (InputImageTypePointer, ImageRegionType)
void InitializeBoundary ()
void LabelMinima (InputImageTypePointer, ImageRegionType, flat_region_table_t &, InputPixelType)
void operator= (const Self &)
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PropagateResetPipeline ()
virtual void ReleaseInputs ()
virtual void RestoreInputReleaseDataFlags ()
 Segmenter (const Self &)
 Segmenter ()
void SetNumberOfInputs (unsigned int num)
void SetNumberOfOutputs (unsigned int num)
void UpdateSegmentTable (InputImageTypePointer, ImageRegionType)
virtual ~Segmenter ()

void GenerateInputRequestedRegion ()
void GenerateOutputRequestedRegion (DataObject *output)
void UpdateOutputInformation ()

virtual void SetNthInput (unsigned int num, DataObject *input)
virtual void AddInput (DataObject *input)
virtual void RemoveInput (DataObject *input)
virtual void SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredInputs ()

virtual void PushBackInput (const DataObject *input)
virtual void PopBackInput ()
virtual void PushFrontInput (const DataObject *input)
virtual void PopFrontInput ()

DataObjectGetInput (unsigned int idx)
const DataObjectGetInput (unsigned int idx) const

virtual void SetNthOutput (unsigned int num, DataObject *output)
virtual void AddOutput (DataObject *output)
virtual void RemoveOutput (DataObject *output)
virtual void SetNumberOfRequiredOutputs (unsigned int _arg)
virtual const unsigned int & GetNumberOfRequiredOutputs ()

DataObjectGetOutput (unsigned int idx)
const DataObjectGetOutput (unsigned int idx) const

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Static Protected Member Functions

static void MergeFlatRegions (flat_region_table_t &, EquivalencyTable::Pointer)
static void MinMax (InputImageTypePointer img, ImageRegionType region, InputPixelType &min, InputPixelType &max)
static void SetInputImageValues (InputImageTypePointer img, const ImageRegionType region, InputPixelType value)
static void SetOutputImageValues (OutputImageTypePointer img, const ImageRegionType region, unsigned long value)
static void Threshold (InputImageTypePointer destination, InputImageTypePointer source, const ImageRegionType source_region, const ImageRegionType destination_region, InputPixelType threshold)

Protected Attributes

connectivity_t m_Connectivity
TimeStamp m_OutputInformationMTime
InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
bool m_Updating



typedef ProcessObject Superclass
typedef SmartPointer< SelfPointer
typedef SmartPointer< const SelfConstPointer
static Pointer New ()
virtual const char * GetNameOfClass () const

Detailed Description

template<class TInputImage>
class itk::watershed::Segmenter< TInputImage >

This filter implements the first step in the N-d watershed segmentation algorithm. It produces a segmented, labeled image from a scalar-valued image input. This filter is used in conjunction with WatershedSegmentTreeGenerator and WatershedRelabeler to produce a final segmented image volume. See itk::WatershedImageFilter for an overview of the entire algorithm and notes on the terminology used in describing it.

The filter is designed to operate in streaming or non-streaming mode. For more information, see the itk::WatershedImageFilter documentation.
Input
There is one input to this algorithm, a real-valued (scalar) itk::Image of arbitrary dimension. The input is assumed to represents a height function, such as a gradient magnitude edge image. The filter can process an image of any dimension. Note that the terms ``pixel'' and ``voxel'' are interchangeable in this and other watershed component class documentation.
Outputs
There are three potential outputs of this algorithm described below.
The first output is a labeled image of unsigned long integers. This is an initial segmentation and labeling that is fed into successive components of the watershed algorithm.
The second output is a table of segment information, itk::watershed::SegmentTable. This table is a record of each segment numbered in the initial segmentation (output number one) with relevant information needed in successive stages of the algorithm.
The third output is a data structure containing boundary pixel information, itk::watershed::Boundary. This data is only generated if the flag DoBoundaryAnalysis is set to true and is only useful in streaming applications.
Parameters
Threshold is specified as a percentage (0.0 - 1.0) of the maximum height of the image. This filter thresholds the input image to remove all values below $ L = min + T * (max - min) $, where $ max, min $ are the maximum, minimum values in the image and $ T $ is the threshold parameter value. Values in the image less than $ L $ are raised to $ L $.
Thresholding minimum values in the image decreases the number of local minima in the image and produces an initial segmentation with fewer segments. The assumption is that the ``shallow'' regions that this thresholding eliminates are generally not of interest.
See also:
WatershedImageFilter

Definition at line 90 of file itkWatershedSegmenter.h.


Member Typedef Documentation

template<class TInputImage>
typedef BoundaryType::FlatHashValueType itk::watershed::Segmenter< TInputImage >::BoundaryFlatHashValueType

Definition at line 109 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef BoundaryType::IndexType itk::watershed::Segmenter< TInputImage >::BoundaryIndexType

Definition at line 108 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef Boundary<InputPixelType, itkGetStaticConstMacro(ImageDimension)> itk::watershed::Segmenter< TInputImage >::BoundaryType

Definition at line 107 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef BoundaryType::Pointer itk::watershed::Segmenter< TInputImage >::BoundaryTypePointer

Definition at line 126 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef SmartPointer<const Self> itk::watershed::Segmenter< TInputImage >::ConstPointer

Methods to implement smart pointers and work with the itk object factory

Reimplemented from itk::ProcessObject.

Definition at line 117 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef DataObject::Pointer itk::watershed::Segmenter< TInputImage >::DataObjectPointer

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 111 of file itkWatershedSegmenter.h.

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType [inherited]

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage>
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 272 of file itkWatershedSegmenter.h.

template<class TInputImage>
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 269 of file itkWatershedSegmenter.h.

template<class TInputImage>
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 255 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef InputImageType::RegionType itk::watershed::Segmenter< TInputImage >::ImageRegionType

Definition at line 104 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef TInputImage itk::watershed::Segmenter< TInputImage >::InputImageType

Define image types and dimensionality

Definition at line 98 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef InputImageType::Pointer itk::watershed::Segmenter< TInputImage >::InputImageTypePointer

Typedefs necessary on microsoft VC++ to avoid internal compiler errors

Definition at line 119 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef InputImageType::PixelType itk::watershed::Segmenter< TInputImage >::InputPixelType

Definition at line 105 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.

template<class TInputImage>
typedef Image<unsigned long, itkGetStaticConstMacro(ImageDimension)> itk::watershed::Segmenter< TInputImage >::OutputImageType

Definition at line 103 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef OutputImageType::Pointer itk::watershed::Segmenter< TInputImage >::OutputImageTypePointer

Definition at line 124 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef SmartPointer<Self> itk::watershed::Segmenter< TInputImage >::Pointer

Methods to implement smart pointers and work with the itk object factory

Reimplemented from itk::ProcessObject.

Definition at line 116 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef SegmentTable<InputPixelType> itk::watershed::Segmenter< TInputImage >::SegmentTableType

Definition at line 110 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef SegmentTableType::Pointer itk::watershed::Segmenter< TInputImage >::SegmentTableTypePointer

Definition at line 125 of file itkWatershedSegmenter.h.

template<class TInputImage>
typedef Segmenter itk::watershed::Segmenter< TInputImage >::Self

Standard self typedefs

Reimplemented from itk::ProcessObject.

Definition at line 95 of file itkWatershedSegmenter.h.

template<class TInputImage>
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 115 of file itkWatershedSegmenter.h.


Constructor & Destructor Documentation

template<class TInputImage>
itk::watershed::Segmenter< TInputImage >::Segmenter (  )  [protected]
template<class TInputImage>
itk::watershed::Segmenter< TInputImage >::Segmenter ( const Self  )  [inline, protected]

Definition at line 275 of file itkWatershedSegmenter.h.

template<class TInputImage>
virtual itk::watershed::Segmenter< TInputImage >::~Segmenter (  )  [protected, virtual]

Member Function Documentation

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

Turn on and off the AbortGenerateData flag.

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

Protected methods for setting inputs. Subclasses make use of them for setting input.

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

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

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

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

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

Protected methods for setting outputs. Subclasses make use of them for getting output.

template<class TInputImage>
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.

template<class TInputImage>
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().

template<class TInputImage>
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]
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.

template<class TInputImage>
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::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >, itk::IsoContourDistanceImageFilter< TInputImage, TOutputImage >, itk::IsolatedWatershedImageFilter< TInputImage, TOutputImage >, itk::KLMRegionGrowImageFilter< TInputImage, TOutputImage >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::ReinitializeLevelSetImageFilter< TLevelSet >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >, itk::WatershedImageFilter< TInputImage >, itk::BlackTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::BSplineDecompositionImageFilter< TInputImage, TOutputImage >, itk::ClosingByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::ConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >, itk::ConnectedThresholdImageFilter< TInputImage, TOutputImage >, itk::ContourDirectedMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::ContourMeanDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::DoubleThresholdImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedClosingImageFilter< TInputImage, TOutputImage >, itk::GrayscaleConnectedOpeningImageFilter< TInputImage, TOutputImage >, itk::GrayscaleFillholeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicDilateImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGeodesicErodeImageFilter< TInputImage, TOutputImage >, itk::GrayscaleGrindPeakImageFilter< TInputImage, TOutputImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >, itk::HConcaveImageFilter< TInputImage, TOutputImage >, itk::HConvexImageFilter< TInputImage, TOutputImage >, itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::HMaximaImageFilter< TInputImage, TOutputImage >, itk::HMinimaImageFilter< TInputImage, TOutputImage >, itk::HoughTransform2DCirclesImageFilter< TInputPixelType, TOutputPixelType >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::IsolatedConnectedImageFilter< TInputImage, TOutputImage >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::NeighborhoodConnectedImageFilter< TInputImage, TOutputImage >, itk::OpeningByReconstructionImageFilter< TInputImage, TOutputImage, TKernel >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, TCompare >, itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >, itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::TobogganImageFilter< TInputImage >, itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >, itk::WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, TFunction >, itk::BinaryContourImageFilter< TInputImage, TOutputImage >, itk::BinaryImageToLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::BinaryShapeKeepNObjectsImageFilter< TInputImage >, itk::BinaryShapeOpeningImageFilter< TInputImage >, itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::LabelContourImageFilter< TInputImage, TOutputImage >, itk::LabelImageToLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToShapeLabelMapFilter< TInputImage, TOutputImage >, itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >, itk::LabelMapFilter< TInputImage, TOutputImage >, itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >, itk::LabelShapeKeepNObjectsImageFilter< TInputImage >, itk::LabelShapeOpeningImageFilter< TInputImage >, itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >, itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >, itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >, itk::MorphologicalWatershedImageFilter< TInputImage, TOutputImage >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, itk::RegionalMaximaImageFilter< TInputImage, TOutputImage >, itk::RegionalMinimaImageFilter< TInputImage, TOutputImage >, itk::ShapeRelabelImageFilter< TInputImage >, itk::SliceBySliceImageFilter< TInputImage, TOutputImage, TInputFilter, TOutputFilter, TInternalInputImage, TInternalOutputImage >, itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, TFunction1, TFunction2 >, itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::greater< TOutputImage::PixelType > >, itk::ReconstructionImageFilter< TInputImage, TOutputImage, std::less< TOutputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::less< TInputImage::PixelType > >, itk::AttributeMorphologyBaseImageFilter< TInputImage, TOutputImage, TAttribute, std::greater< TInputImage::PixelType > >, itk::LabelMapFilter< TInputImage, TInputImage >, itk::LabelMapFilter< TImage, TImage >, itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::greater< TInputImage::PixelType >, std::greater< TOutputImage::PixelType > >, and itk::ValuedRegionalExtremaImageFilter< TInputImage, TOutputImage, std::less< TInputImage::PixelType >, std::less< TOutputImage::PixelType > >.

Definition at line 225 of file itkProcessObject.h.

template<class TInputImage>
virtual void itk::watershed::Segmenter< TInputImage >::GenerateConnectivity (  )  [protected, virtual]

Constructs the connectivity list and the corresponding set of directional Offset indicies.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::GenerateData (  )  [virtual]

Standard non-threaded pipeline execution method.

Reimplemented from itk::ProcessObject.

template<class TInputImage>
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::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >, itk::BinaryMask3DMeshSource< TInputImage, TOutputMesh >, itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >, itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >, itk::FFTComplexConjugateToRealImageFilter< TPixel, VDimension >, itk::FFTRealToComplexConjugateImageFilter< TPixel, VDimension >, itk::MRFImageFilter< TInputImage, TClassifiedImage >, itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >, itk::VoronoiDiagram2DGenerator< TCoordType >, itk::AccumulateImageFilter< TInputImage, TOutputImage >, itk::BinaryMaskToNarrowBandPointSetFilter< TInputImage, TOutputMesh >, itk::ChangeInformationImageFilter< TInputImage >, itk::CropImageFilter< TInputImage, TOutputImage >, itk::DeformationFieldSource< TOutputImage >, itk::ExpandImageFilter< TInputImage, TOutputImage >, itk::ExtractImageFilter< TInputImage, TOutputImage >, itk::ExtractOrthogonalSwath2DImageFilter< TImage >, itk::FlipImageFilter< TImage >, itk::GaussianImageSource< TOutputImage >, itk::GradientImageToBloxBoundaryPointImageFilter< TInputImage >, itk::HoughTransform2DLinesImageFilter< TInputPixelType, TOutputPixelType >, itk::ImageToMeshFilter< TInputImage, TOutputMesh >, itk::ImageToParametricSpaceFilter< TInputImage, TOutputMesh >, itk::ImageToVectorImageFilter< TInputImage >, itk::ImportImageFilter< TPixel, VImageDimension >, itk::InterpolateImagePointsFilter< TInputImage, TOutputImage, TCoordType, InterpolatorType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::JoinSeriesImageFilter< TInputImage, TOutputImage >, itk::OrientImageFilter< TInputImage, TOutputImage >, itk::PadImageFilter< TInputImage, TOutputImage >, itk::ParametricSpaceToImageSpaceMeshFilter< TInputMesh, TOutputMesh >, itk::PathToImageFilter< TInputPath, TOutputImage >, itk::PermuteAxesImageFilter< TImage >, itk::PointSetToImageFilter< TInputPointSet, TOutputImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator >, itk::RandomImageSource< TOutputImage >, itk::RegionOfInterestImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ShrinkImageFilter< TInputImage, TOutputImage >, itk::SpatialObjectToImageFilter< TInputSpatialObject, TOutputImage >, itk::SpatialObjectToPointSetFilter< TInputSpatialObject, TOutputPointSet >, itk::TileImageFilter< TInputImage, TOutputImage >, itk::TriangleMeshToBinaryImageFilter< TInputMesh, TOutputImage >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, TFunction >, itk::VectorExpandImageFilter< TInputImage, TOutputImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VTKImageImport< TOutputImage >, itk::WarpImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::WarpVectorImageFilter< TInputImage, TOutputImage, TDeformationField >, itk::ImageFileReader< TOutputImage, ConvertPixelTraits >, itk::ImageSeriesReader< TOutputImage >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListGenerator< TImage, TMaskImage >, itk::AutoCropLabelMapFilter< TInputImage >, itk::ChangeRegionLabelMapFilter< TInputImage >, itk::CropLabelMapFilter< TInputImage >, itk::DirectFourierReconstructionImageToImageFilter< TInputPixelType, TOutputPixelType >, itk::FFTComplexToComplexImageFilter< TPixel, NDimension >, itk::GaborImageSource< TOutputImage >, itk::GridImageSource< TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::PadLabelMapFilter< TInputImage >, itk::RegionFromReferenceLabelMapFilter< TInputImage >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::HistogramToImageFilter< THistogram, TFunction >, itk::Statistics::ImageToListSampleFilter< TImage, TMaskImage >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryThresholdAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MeanAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MinimumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MaximumAccumulator< TInputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::BinaryAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::SumAccumulator< TInputImage::PixelType, TOutputImage::PixelType > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::StandardDeviationAccumulator< TInputImage::PixelType, TAccumulate > >, itk::ProjectionImageFilter< TInputImage, TOutputImage, Function::MedianAccumulator< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Atan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Acos< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::InvertIntensityTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ChangeLabel< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< FeatureImageType, ImageType, Functor::Cast< FeatureImageType::PixelType, ImageType::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SubtractConstantFrom< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MultiplyByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TLabelImage, TOutputImage, Functor::LabelToRGBFunctor< TLabelImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Abs< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Exp< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToReal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Cast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BoundedReciprocal< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sigmoid< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorMagnitudeLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityLinearTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToModulus< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::IntensityWindowingTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::NOT< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Tan< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ExpNegative< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::DivideByConstant< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToPhase< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ThresholdLabeler< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::SymmetricEigenAnalysisFunction< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::RGBToLuminance< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorRelativeAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::MatrixIndexSelection< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Sqrt< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::BinaryThreshold< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Log10< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AccessorFunctor< TInputImage::PixelType, TAccessor > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::ModulusTransform< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::TensorFractionalAnisotropyFunction< TInputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::Asin< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::EdgePotential< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::Square< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::VectorIndexSelectionCast< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::GradientMagnitude< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Function::ComplexToImaginary< TInputImage::PixelType, TOutputImage::PixelType > >, itk::UnaryFunctorImageFilter< TInputImage, TOutputImage, Functor::AddConstantTo< TInputImage::PixelType, TConstant, TOutputImage::PixelType > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimensions, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramEntropyFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, NDimension, Function::HistogramIntensityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramProbabilityFunction< unsigned long, TOutputPixel > >, itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >, and itk::HistogramToImageFilter< THistogram, Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel > >.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::GenerateOutputRequestedRegion ( DataObject output  )  [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 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.

template<class TInputImage>
BoundaryType* itk::watershed::Segmenter< TInputImage >::GetBoundary ( void   )  [inline]

Returns the boundary information data necessary only for data streaming applications.

Definition at line 168 of file itkWatershedSegmenter.h.

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.

template<class TInputImage>
virtual unsigned long itk::watershed::Segmenter< TInputImage >::GetCurrentLabel (  )  const [virtual]

Gets/Sets the initial label (unsigned long integer value) used by the labeling algorithm. Only necessary for streaming applications.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

template<class TInputImage>
virtual bool itk::watershed::Segmenter< TInputImage >::GetDoBoundaryAnalysis (  )  const [virtual]

Turns on special labeling of the boundaries for streaming applications. The default value is FALSE, meaning that boundary analysis is turned off.

static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

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::PathToPathFilter< TInputPath, TOutputPath >, itk::ImageFileWriter< TInputImage >, itk::ImageSeriesWriter< TInputImage, TOutputImage >, itk::ImageToPathFilter< TInputImage, TOutputPath >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::PathToPathFilter< TInputPath, TOutputChainCodePath >, itk::PathToPathFilter< TInputChainCodePath, TOutputFourierSeriesPath >, itk::PathToPathFilter< TFourierSeriesPath, OrthogonallyCorrected2DParametricPath >, and itk::ImageToPathFilter< TInputImage, PolyLineParametricPath< 2 > >.

Referenced by itk::LabelMapToBinaryImageFilter< TInputImage, TOutputImage >::GetBackgroundImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetEquivalencyTable(), itk::StatisticsRelabelImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::StatisticsLabelMapFilter< TImage, TFeatureImage >::GetFeatureImage(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::GetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::GetFeatureImage(), itk::LabelStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::LabelStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::LabelImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::BinaryStatisticsOpeningImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::BinaryStatisticsKeepNObjectsImageFilter< TInputImage, TFeatureImage >::GetFeatureImage(), itk::BinaryImageToStatisticsLabelMapFilter< TInputImage, TFeatureImage, TOutputImage >::GetFeatureImage(), itk::RobustAutomaticThresholdImageFilter< TInputImage, TGradientImage, TOutputImage >::GetGradientImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::GetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetInputSegmentTree(), itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >::GetIntensityInput(), itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >::GetLabelInput(), itk::LabelMapFilter< TImage, TImage >::GetLabelMap(), itk::MorphologicalWatershedFromMarkersImageFilter< TInputImage, TLabelImage >::GetMarkerImage(), itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >::GetMaskImage(), itk::KappaSigmaThresholdImageFilter< TInputImage, TMaskImage, TOutputImage >::GetMaskImage(), itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage >::GetMaskImage(), and itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::GetReferenceImage().

const DataObject* itk::ProcessObject::GetInput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an input.

Reimplemented in itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

template<class TInputImage>
InputImageType* itk::watershed::Segmenter< TInputImage >::GetInputImage ( void   )  [inline]

Get/Set the input image.

Definition at line 135 of file itkWatershedSegmenter.h.

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.

template<class TInputImage>
ImageRegionType itk::watershed::Segmenter< TInputImage >::GetLargestPossibleRegion (  )  const [inline]

This method is necessary until the streaming mechanisms of the Itk pipeline are full fleshed out. It is only used for streaming applications. Calling this method gets/sets the image size of the complete volume being streamed. The member variables controlled by this method will not be modified by the Itk pipeline and are necessary for analysis of boundaries.

Definition at line 192 of file itkWatershedSegmenter.h.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

MultiThreader* itk::ProcessObject::GetMultiThreader (  )  [inline, inherited]

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage>
virtual const char* itk::watershed::Segmenter< TInputImage >::GetNameOfClass (  )  const [virtual]

Methods to implement smart pointers and work with the itk object factory

Reimplemented from itk::ProcessObject.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs (  )  const [inline, inherited]

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs (  )  const [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 135 of file itkProcessObject.h.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs (  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs (  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual const int& itk::ProcessObject::GetNumberOfThreads (  )  [virtual, inherited]

Get/Set the number of threads to create when executing.

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

virtual DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs (  )  const [virtual, inherited]

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

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< TSparseOutputImage >, itk::ImageSource< TLevelSet >, itk::ImageSource< Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageSource< ImageType >, itk::ImageSource< TInputImage >, itk::ImageSource< Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< std::complex< TPixel >, NDimension > >, itk::ImageSource< TFixedImage >, itk::ImageSource< Image< TFunction::OutputPixelType, NDimension > >, itk::ImageSource< Image< TOutputPixelType, 3 > >, itk::ImageSource< TImage >, itk::ImageSource< Image< Function::HistogramProbabilityFunction< unsigned long, TOutputPixel >::OutputPixelType, NDimension > >, itk::ImageSource< BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType, 2 > >, itk::ImageSource< Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TClassifiedImage >, itk::ImageSource< TImageType >, itk::ImageSource< TInputImage1 >, itk::ImageSource< Image< TPixel, 3 > >, itk::ImageSource< Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageSource< Image< Function::HistogramEntropyFunction< unsigned long, TOutputPixel >::OutputPixelType, NDimension > >, itk::ImageSource< Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageSource< TLabelImage >, itk::ImageSource< BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< Function::HistogramLogProbabilityFunction< unsigned long, TOutputPixel >::OutputPixelType, NDimension > >, itk::ImageSource< Image< std::complex< TPixel >, VDimension > >, itk::ImageSource< TDeformationField >, itk::ImageSource< BloxCoreAtomImage< dim > >, itk::ImageSource< Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TSparseOutputImageType >, itk::ImageSource< Image< TFunction::OutputPixelType,::itk::Statistics::GetHistogramDimension< THistogram >::HistogramDimension > >, itk::ImageSource< VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageSource< Image< TPixel, VDimension > >, itk::ImageSource< Image< NDimensions::OutputPixelType, NDimension > >, itk::ImageSource< Image< TPixel, VImageDimension > >, itk::ImageSource< Image< NDimension::OutputPixelType, NDimension > >, itk::ImageSource< TEigenValueImage >, itk::ImageSource< Image< Function::HistogramIntensityFunction< unsigned long, TOutputPixel >::OutputPixelType, NDimension > >, itk::ImageSource< VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageSource< TIntensityImage >, itk::MeshSource< TOutputPointSet >, itk::MeshSource< TOutput >, itk::MeshSource< VoronoiDiagram2D< TCoordType > >, itk::PathSource< PolyLineParametricPath< 2 > >, itk::PathSource< OrthogonallyCorrected2DParametricPath >, itk::PathSource< TOutputChainCodePath >, and itk::PathSource< TOutputFourierSeriesPath >.

Referenced by itk::watershed::Segmenter< InputImageType >::GetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetEquivalencyTable(), itk::TwoOutputExampleImageFilter< TImage >::GetInverseOutput(), itk::watershed::Segmenter< InputImageType >::GetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetOutputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetOutputSegmentTree(), and itk::watershed::Segmenter< InputImageType >::GetSegmentTable().

const DataObject* itk::ProcessObject::GetOutput ( unsigned int  idx  )  const [protected, inherited]

Method used internally for getting an output.

template<class TInputImage>
OutputImageType* itk::watershed::Segmenter< TInputImage >::GetOutputImage ( void   )  [inline]

Get/Set the labeled output image. The output image is always of unsigned long integers.

Definition at line 146 of file itkWatershedSegmenter.h.

DataObjectPointerArray& itk::ProcessObject::GetOutputs (  )  [inline, inherited]

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

virtual const float& itk::ProcessObject::GetProgress (  )  [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::XMLFilterWatcher::ShowProgress().

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag (  )  [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

virtual bool itk::ProcessObject::GetReleaseDataFlag (  )  const [virtual, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

template<class TInputImage>
SegmentTableType* itk::watershed::Segmenter< TInputImage >::GetSegmentTable ( void   )  [inline]

Get/Set the segment table. The segment table is a table of segmentation information identifying each region produced by the labeling algorithm.

Definition at line 157 of file itkWatershedSegmenter.h.

template<class TInputImage>
virtual bool itk::watershed::Segmenter< TInputImage >::GetSortEdgeLists (  )  const [virtual]

Determines whether the algorithm will sort the adjacencies in its SegmentTable before returning. Default is true. This is an option only useful for streaming applications where the sorting only needs to be done after all iterations have taken place.

template<class TInputImage>
virtual double itk::watershed::Segmenter< TInputImage >::GetThreshold (  )  const [virtual]

Gets/Sets the input threshold. Threshold is specified as a percentage (0.0 - 1.0) of the maximum height of the image. This filter thresholds the input image to remove all values below $ L = min + T * (max - min) $, where $ max, min $ are the maximum, minimum values in the image and $ T $ is the threshold parameter value. Values in the image less than $ L $ are raised to $ L $. Thresholding minimum values in the image decreases the number of local minima in the image and produces an initial segmentation with fewer segments. The assumption is that the ``shallow'' regions that this thresholding eliminates are generally not of interest.

static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::GradientDescent ( InputImageTypePointer  ,
ImageRegionType   
) [protected]

Follows each unlabeled pixel in the image down its path of steepest descent. Each pixel along that path is identified with the local minima already labeled at the end of the path.

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::InitializeBoundary (  )  [protected]

Allocates boundary structure information and sets the boundary data to null values.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

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.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::LabelMinima ( InputImageTypePointer  ,
ImageRegionType  ,
flat_region_table_t ,
InputPixelType   
) [protected]

Labels all the local minima in the image. Also identifies and labels connected ``flat'' regions.

template<class TInputImage>
virtual DataObjectPointer itk::watershed::Segmenter< TInputImage >::MakeOutput ( unsigned int  idx  )  [virtual]

Standard itk::ProcessObject subclass method.

Reimplemented from itk::ProcessObject.

template<class TInputImage>
static void itk::watershed::Segmenter< TInputImage >::MergeFlatRegions ( flat_region_table_t ,
EquivalencyTable::Pointer   
) [static, protected]

Helper function. Finds the minimum and maximum values in an image.

template<class TInputImage>
static void itk::watershed::Segmenter< TInputImage >::MinMax ( InputImageTypePointer  img,
ImageRegionType  region,
InputPixelType min,
InputPixelType max 
) [static, protected]

Helper function. Finds the minimum and maximum values in an image.

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputImage>
static Pointer itk::watershed::Segmenter< TInputImage >::New (  )  [static]

Methods to implement smart pointers and work with the itk object factory

Reimplemented from itk::Object.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::operator= ( const Self  )  [inline, protected]

Definition at line 278 of file itkWatershedSegmenter.h.

virtual void itk::ProcessObject::PopBackInput (  )  [protected, virtual, inherited]

Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

virtual void itk::ProcessObject::PopFrontInput (  )  [protected, virtual, inherited]

Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::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]

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.

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

Send the requested region information back up the pipeline (to the filters that preceed this one).

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >, and itk::VTKImageImport< TOutputImage >.

virtual void itk::ProcessObject::PropagateResetPipeline (  )  [protected, virtual, inherited]

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

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

Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

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

Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

Reimplemented in itk::ImageToImageFilter< TInputImage, TOutputImage >, itk::ImageToImageFilter< TSpeedImage, TLevelSet >, itk::ImageToImageFilter< TDeformationField, TDeformationField >, itk::ImageToImageFilter< TLabelImage, TOutputImage >, itk::ImageToImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::ImageToImageFilter< TInputImage, TInputImage >, itk::ImageToImageFilter< TInputImage, TSparseOutputImage >, itk::ImageToImageFilter< Image< TReferenceImagePixelType, 3 >, Image< DiffusionTensor3D< TTensorPixelType >, 3 > >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TDataType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, BloxBoundaryPointImage< ::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< SymmetricSecondRankTensor< double, 3 >, 3 >, Image< TPixel, 3 > >, itk::ImageToImageFilter< TInputImage, TLabelImage >, itk::ImageToImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::ImageToImageFilter< Image< TInputPixelType, 3 >, Image< TOutputPixelType, 3 > >, itk::ImageToImageFilter< TInputImage, Image< unsigned long,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TSourceImage, BloxBoundaryProfileImage< ::itk::GetImageDimension< TSourceImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TOutputImage >, itk::ImageToImageFilter< FeatureImageType, ImageType >, itk::ImageToImageFilter< TImageType, TImageType >, itk::ImageToImageFilter< BloxBoundaryPointImage< dim >, BloxCoreAtomImage< dim > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, VDimension >, Image< TPixel, VDimension > >, itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TLabelImage, TIntensityImage >, itk::ImageToImageFilter< TInputImage, Image< CovariantVector< TOutputValueType,::itk::GetImageDimension< TInputImage >::ImageDimension >,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage, TClassifiedImage >, itk::ImageToImageFilter< TInputImage, TEigenValueImage >, itk::ImageToImageFilter< TInputVectorImage, Image< TLabelsType,::itk::GetImageDimension< TInputVectorImage >::ImageDimension > >, itk::ImageToImageFilter< TInputImage1, TInputImage1 >, itk::ImageToImageFilter< TFeatureImage, TOutputImage >, itk::ImageToImageFilter< ImageType, ImageType >, itk::ImageToImageFilter< Image< TPixel, VDimension >, Image< std::complex< TPixel >, VDimension > >, itk::ImageToImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< Image< std::complex< TPixel >, NDimension >, Image< std::complex< TPixel >, NDimension > >, itk::ImageToImageFilter< TLevelSet, TLevelSet >, itk::ImageToImageFilter< TMovingImage, TFixedImage >, itk::ImageToImageFilter< TImage, TImage >, itk::ImageToImageFilter< TInputImageType, TSparseOutputImageType >, itk::ImageToImageFilter< Image< TInputPixelType, 2 >, Image< TOutputPixelType, 2 > >, itk::ImageToImageFilter< TInputImage, VectorImage< TInputImage::InternalPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::ImageToImageFilter< TDeformationField, TOutputImage >, itk::ImageToImageFilter< TImage, TImage >, and itk::ImageToImageFilter< ImageType, ImageType >.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

template<class TInputImage>
static void itk::watershed::Segmenter< TInputImage >::RelabelImage ( OutputImageTypePointer  ,
ImageRegionType  ,
EquivalencyTable::Pointer   
) [static]

Helper function. Other classes may have occasion to use this. Relabels an image according to a table of equivalencies.

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

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

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

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::ReleaseDataFlagOff (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 257 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn (  )  [inline, inherited]

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 256 of file itkProcessObject.h.

virtual void itk::ProcessObject::ReleaseInputs (  )  [protected, virtual, inherited]

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See also:
InPlaceImageFilter::ReleaseInputs()

Reimplemented in itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceLabelMapFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TOutputImage >, itk::InPlaceImageFilter< TDeformationField, TDeformationField >, itk::InPlaceImageFilter< TInputImage1, Functor::MakeJoin< TInputImage1, TInputImage2 >::ImageType >, itk::InPlaceImageFilter< TInputImage >, itk::InPlaceImageFilter< TInputImage, TSparseOutputImage >, itk::InPlaceImageFilter< TInputImage1, TOutputImage >, itk::InPlaceImageFilter< Image< TInputPixel1, NDimension >, Image< std::complex< TOutputPixel >, NDimension > >, itk::InPlaceImageFilter< TFeatureImage, TOutputImage >, itk::InPlaceImageFilter< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >, itk::InPlaceImageFilter< TLabelImage, TOutputImage >, itk::InPlaceImageFilter< FeatureImageType, ImageType >, itk::InPlaceImageFilter< TInputImageType, TSparseOutputImageType >, itk::InPlaceImageFilter< TImage, TImage >, and itk::InPlaceLabelMapFilter< TImage >.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

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

Protected methods for setting inputs. Subclasses make use of them for setting input.

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

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

Protected methods for setting outputs. Subclasses make use of them for getting output.

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

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

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.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::SetBoundary ( BoundaryType b  )  [inline]

Returns the boundary information data necessary only for data streaming applications.

Definition at line 173 of file itkWatershedSegmenter.h.

template<class TInputImage>
virtual void itk::watershed::Segmenter< TInputImage >::SetCurrentLabel ( unsigned long  _arg  )  [virtual]

Gets/Sets the initial label (unsigned long integer value) used by the labeling algorithm. Only necessary for streaming applications.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

template<class TInputImage>
virtual void itk::watershed::Segmenter< TInputImage >::SetDoBoundaryAnalysis ( bool  _arg  )  [virtual]

Turns on special labeling of the boundaries for streaming applications. The default value is FALSE, meaning that boundary analysis is turned off.

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().

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::SetInputImage ( InputImageType img  )  [inline]

Get/Set the input image.

Definition at line 140 of file itkWatershedSegmenter.h.

template<class TInputImage>
static void itk::watershed::Segmenter< TInputImage >::SetInputImageValues ( InputImageTypePointer  img,
const ImageRegionType  region,
InputPixelType  value 
) [static, protected]

Helper functions for filling in regions with values

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::SetLargestPossibleRegion ( ImageRegionType  reg  )  [inline]

This method is necessary until the streaming mechanisms of the Itk pipeline are full fleshed out. It is only used for streaming applications. Calling this method gets/sets the image size of the complete volume being streamed. The member variables controlled by this method will not be modified by the Itk pipeline and are necessary for analysis of boundaries.

Definition at line 186 of file itkWatershedSegmenter.h.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
virtual void itk::ProcessObject::SetNthInput ( unsigned int  num,
DataObject input 
) [protected, virtual, inherited]
virtual void itk::ProcessObject::SetNthOutput ( unsigned int  num,
DataObject output 
) [protected, virtual, inherited]
void itk::ProcessObject::SetNumberOfInputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the input array. Copies old inputs.

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int  num  )  [protected, inherited]

Called to allocate the output array. Copies old outputs.

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting inputs. Subclasses make use of them for setting input.

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int  _arg  )  [protected, virtual, inherited]

Protected methods for setting outputs. Subclasses make use of them for getting output.

virtual void itk::ProcessObject::SetNumberOfThreads ( int  _arg  )  [virtual, inherited]
template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::SetOutputImage ( OutputImageType img  )  [inline]

Get/Set the labeled output image. The output image is always of unsigned long integers.

Definition at line 151 of file itkWatershedSegmenter.h.

template<class TInputImage>
static void itk::watershed::Segmenter< TInputImage >::SetOutputImageValues ( OutputImageTypePointer  img,
const ImageRegionType  region,
unsigned long  value 
) [static, protected]
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.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::SetSegmentTable ( SegmentTableType s  )  [inline]

Get/Set the segment table. The segment table is a table of segmentation information identifying each region produced by the labeling algorithm.

Definition at line 162 of file itkWatershedSegmenter.h.

template<class TInputImage>
virtual void itk::watershed::Segmenter< TInputImage >::SetSortEdgeLists ( bool  _arg  )  [virtual]

Determines whether the algorithm will sort the adjacencies in its SegmentTable before returning. Default is true. This is an option only useful for streaming applications where the sorting only needs to be done after all iterations have taken place.

template<class TInputImage>
virtual void itk::watershed::Segmenter< TInputImage >::SetThreshold ( double  _arg  )  [virtual]

Gets/Sets the input threshold. Threshold is specified as a percentage (0.0 - 1.0) of the maximum height of the image. This filter thresholds the input image to remove all values below $ L = min + T * (max - min) $, where $ max, min $ are the maximum, minimum values in the image and $ T $ is the threshold parameter value. Values in the image less than $ L $ are raised to $ L $. Thresholding minimum values in the image decreases the number of local minima in the image and produces an initial segmentation with fewer segments. The assumption is that the ``shallow'' regions that this thresholding eliminates are generally not of interest.

template<class TInputImage>
static void itk::watershed::Segmenter< TInputImage >::Threshold ( InputImageTypePointer  destination,
InputImageTypePointer  source,
const ImageRegionType  source_region,
const ImageRegionType  destination_region,
InputPixelType  threshold 
) [static, protected]

Helper function. Thresholds low values and copies values from one image into another. The source and destination regions must match in size (not enforced). For integral types, the dynamic range of the image is adjusted such that the maximum value in the image is always at least one less than the maximum value allowed for that data type.

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 >.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::UpdateOutputInformation (  )  [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.

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.

template<class TInputImage>
void itk::watershed::Segmenter< TInputImage >::UpdateSegmentTable ( InputImageTypePointer  ,
ImageRegionType   
) [protected]

Adds entries to the output segment table for all labeled segments in the image.


Member Data Documentation

template<class TInputImage>
const unsigned int itk::watershed::Segmenter< TInputImage >::ImageDimension = TInputImage::ImageDimension [static]

Definition at line 100 of file itkWatershedSegmenter.h.

template<class TInputImage>
connectivity_t itk::watershed::Segmenter< TInputImage >::m_Connectivity [protected]

This is a debugging method. Will be removed. 11/14/01 jc Holds generalized connectivity information for connected component labeling and gradient descent analysis in pixel neighborhoods.

Definition at line 367 of file itkWatershedSegmenter.h.

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating [protected, inherited]

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Definition at line 428 of file itkProcessObject.h.

template<class TInputImage>
short itk::watershed::Segmenter< TInputImage >::NULL_FLOW [static]

A constant used in the labeling algorithm.

Definition at line 132 of file itkWatershedSegmenter.h.

template<class TInputImage>
unsigned long itk::watershed::Segmenter< TInputImage >::NULL_LABEL [static]

A constant used in the labeling algorithm.

Definition at line 129 of file itkWatershedSegmenter.h.


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

Generated at Tue Jul 13 2010 04:14:02 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000