#include <itkWatershedSegmenter.h>

Inheritance diagram for itk::watershed::Segmenter< TInputImage >:

Collaboration diagram for itk::watershed::Segmenter< TInputImage >:

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 ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef InputImageType::RegionType	ImageRegionType
typedef TInputImage	InputImageType
typedef InputImageType::Pointer	InputImageTypePointer
typedef InputImageType::PixelType	InputPixelType
typedef Image< IdentifierType, itkGetStaticConstMacro(ImageDimension) >	OutputImageType
typedef OutputImageType::Pointer	OutputImageTypePointer
typedef SegmentTable < InputPixelType >	SegmentTableType
typedef SegmentTableType::Pointer	SegmentTableTypePointer
typedef Segmenter	Self
Public Member Functions
void	GenerateData ()
BoundaryType *	GetBoundary (void)
InputImageType *	GetInputImage (void)
ImageRegionType	GetLargestPossibleRegion () const
OutputImageType *	GetOutputImage (void)
SegmentTableType *	GetSegmentTable (void)
virtual bool	GetSortEdgeLists () const
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType idx)
void	SetBoundary (BoundaryType *b)
void	SetInputImage (InputImageType *img)
void	SetOutputImage (OutputImageType *img)
void	SetSegmentTable (SegmentTableType *s)
virtual void	SetSortEdgeLists (bool _arg)

void	SetLargestPossibleRegion (ImageRegionType reg)

virtual void	SetCurrentLabel (IdentifierType _arg)
virtual IdentifierType	GetCurrentLabel () const

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

virtual void	SetDoBoundaryAnalysis (bool _arg)
virtual bool	GetDoBoundaryAnalysis () const
Static Public Member Functions
static void	RelabelImage (OutputImageTypePointer, ImageRegionType, EquivalencyTable::Pointer)
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
static short	NULL_FLOW
static IdentifierType	NULL_LABEL
Protected Types
typedef itksys::hash_map < IdentifierType, edge_table_t, itksys::hash< IdentifierType > >	edge_table_hash_t
typedef itksys::hash_map < IdentifierType, InputPixelType, itksys::hash < IdentifierType > >	edge_table_t
typedef itksys::hash_map < IdentifierType, flat_region_t, itksys::hash < IdentifierType > >	flat_region_table_t
Protected Member Functions
void	AnalyzeBoundaryFlow (InputImageTypePointer, flat_region_table_t &, InputPixelType)
void	BuildRetainingWall (InputImageTypePointer, ImageRegionType, InputPixelType)
void	CollectBoundaryInformation (flat_region_table_t &)
void	DescendFlatRegions (flat_region_table_t &, ImageRegionType)
virtual void	GenerateConnectivity ()
void	GenerateInputRequestedRegion ()
void	GenerateOutputRequestedRegion (DataObject *output)
void	GradientDescent (InputImageTypePointer, ImageRegionType)
void	InitializeBoundary ()
void	LabelMinima (InputImageTypePointer, ImageRegionType, flat_region_table_t &, InputPixelType)
void	operator= (const Self &)
void	PrintSelf (std::ostream &os, Indent indent) const
	Segmenter ()
	Segmenter (const Self &)
void	UpdateOutputInformation ()
void	UpdateSegmentTable (InputImageTypePointer, ImageRegionType)
virtual	~Segmenter ()
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, IdentifierType value)
static void	Threshold (InputImageTypePointer destination, InputImageTypePointer source, const ImageRegionType source_region, const ImageRegionType destination_region, InputPixelType threshold)
Protected Attributes
connectivity_t	m_Connectivity
Private Attributes
IdentifierType	m_CurrentLabel
bool	m_DoBoundaryAnalysis
ImageRegionType	m_LargestPossibleRegion
double	m_MaximumFloodLevel
bool	m_SortEdgeLists
double	m_Threshold
typedef ProcessObject	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
static Pointer	New ()
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
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 IdentifierType 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 , where are the maximum, minimum values in the image and is the threshold parameter value. Values in the image less than are raised to .

: 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 88 of file itkWatershedSegmenter.h.

Member Typedef Documentation

template<class TInputImage>

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

Definition at line 107 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 106 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 105 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 124 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 115 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 109 of file itkWatershedSegmenter.h.

template<class TInputImage>

typedef ProcessObject::DataObjectPointerArraySizeType itk::watershed::Segmenter< TInputImage >::DataObjectPointerArraySizeType

Standard itk::ProcessObject subclass method.

Reimplemented from itk::ProcessObject.

Definition at line 202 of file itkWatershedSegmenter.h.

template<class TInputImage>

typedef itksys::hash_map< IdentifierType, edge_table_t, itksys::hash< IdentifierType > > itk::watershed::Segmenter< TInputImage >::edge_table_hash_t [protected]

Definition at line 270 of file itkWatershedSegmenter.h.

template<class TInputImage>

typedef itksys::hash_map< IdentifierType, InputPixelType, itksys::hash< IdentifierType > > 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 267 of file itkWatershedSegmenter.h.

template<class TInputImage>

typedef itksys::hash_map< IdentifierType, flat_region_t, itksys::hash< IdentifierType > > itk::watershed::Segmenter< TInputImage >::flat_region_table_t [protected]

Table for storing flat region information.

Definition at line 254 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 102 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Define image types and dimensionality

Definition at line 96 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 117 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 103 of file itkWatershedSegmenter.h.

template<class TInputImage>

typedef Image< IdentifierType, itkGetStaticConstMacro(ImageDimension) > itk::watershed::Segmenter< TInputImage >::OutputImageType

Definition at line 101 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 122 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 114 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 108 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 123 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Standard self typedefs

Reimplemented from itk::ProcessObject.

Definition at line 93 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 113 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 273 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Member Function Documentation

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.

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.

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.

template<class TInputImage>

virtual::itk::LightObject::Pointer itk::watershed::Segmenter< TInputImage >::CreateAnother ( void ) const [virtual]

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

Reimplemented from itk::Object.

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.

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.

template<class TInputImage>

void itk::watershed::Segmenter< TInputImage >::GenerateOutputRequestedRegion ( DataObject * output ) [protected, virtual]

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

Reimplemented from itk::ProcessObject.

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 166 of file itkWatershedSegmenter.h.

template<class TInputImage>

virtual IdentifierType itk::watershed::Segmenter< TInputImage >::GetCurrentLabel ( ) const [virtual]

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

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.

template<class TInputImage>

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

Get/Set the input image.

Definition at line 133 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

Definition at line 192 of file itkWatershedSegmenter.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.

template<class TInputImage>

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

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

Definition at line 144 of file itkWatershedSegmenter.h.

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 155 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.

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.

template<class TInputImage>

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

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

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 ( DataObjectPointerArraySizeType idx ) [virtual]

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a itkSmartPointer to a DataObject. ImageSource and MeshSource override this method to create the correct type of image and mesh respectively. If a filter has multiple outputs of different types, then that filter must provide an implementation of MakeOutput().

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.

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]

Time when GenerateOutputInformation was last called.

Reimplemented from itk::ProcessObject.

Definition at line 277 of file itkWatershedSegmenter.h.

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.

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.

template<class TInputImage>

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

Definition at line 172 of file itkWatershedSegmenter.h.

template<class TInputImage>

virtual void itk::watershed::Segmenter< TInputImage >::SetCurrentLabel ( IdentifierType _arg ) [virtual]

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

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.

template<class TInputImage>

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

Definition at line 139 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 184 of file itkWatershedSegmenter.h.

template<class TInputImage>

void itk::watershed::Segmenter< TInputImage >::SetOutputImage ( OutputImageType * img ) [inline]

Definition at line 150 of file itkWatershedSegmenter.h.

template<class TInputImage>

static void itk::watershed::Segmenter< TInputImage >::SetOutputImageValues	(	OutputImageTypePointer	img,
		const ImageRegionType	region,
		IdentifierType	value
	)		`[static, protected]`

template<class TInputImage>

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

Definition at line 161 of file itkWatershedSegmenter.h.

template<class TInputImage>

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

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.

template<class TInputImage>

void itk::watershed::Segmenter< TInputImage >::UpdateOutputInformation ( ) [protected, virtual]

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented from itk::ProcessObject.

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 98 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.

template<class TInputImage>

IdentifierType itk::watershed::Segmenter< TInputImage >::m_CurrentLabel [private]

Definition at line 382 of file itkWatershedSegmenter.h.

template<class TInputImage>

bool itk::watershed::Segmenter< TInputImage >::m_DoBoundaryAnalysis [private]

Definition at line 379 of file itkWatershedSegmenter.h.

template<class TInputImage>

ImageRegionType itk::watershed::Segmenter< TInputImage >::m_LargestPossibleRegion [private]

Helper, debug method. This is the actual data set size. The pipeline will alter its LargestPossibleRegion, so we need to preserve it here explicitly for streaming applications

Definition at line 376 of file itkWatershedSegmenter.h.

template<class TInputImage>

double itk::watershed::Segmenter< TInputImage >::m_MaximumFloodLevel [private]

Definition at line 381 of file itkWatershedSegmenter.h.

template<class TInputImage>

bool itk::watershed::Segmenter< TInputImage >::m_SortEdgeLists [private]

Definition at line 378 of file itkWatershedSegmenter.h.

template<class TInputImage>

double itk::watershed::Segmenter< TInputImage >::m_Threshold [private]

Definition at line 380 of file itkWatershedSegmenter.h.

template<class TInputImage>

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