itk::WatershedImageFilter< TInputImage > Class Template Reference

#include <itkWatershedImageFilter.h>

Inheritance diagram for itk::WatershedImageFilter< TInputImage >:

Collaboration diagram for itk::WatershedImageFilter< TInputImage >:

List of all members.

Public Types
typedef InputImageType::IndexType	IndexType
typedef TInputImage	InputImageType
typedef Image< IdentifierType, itkGetStaticConstMacro(ImageDimension) >	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef InputImageType::RegionType	RegionType
typedef InputImageType::PixelType	ScalarType
typedef WatershedImageFilter	Self
typedef InputImageType::SizeType	SizeType
typedef ImageToImageFilter < InputImageType, OutputImageType >	Superclass
Public Types inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
typedef SmartPointer< const Self >	ConstPointer
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef Superclass::OutputImageRegionType	OutputImageRegionType
Public Types inherited from itk::ImageSource< Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
typedef OutputImageType::Pointer	OutputImagePointer
Public Types inherited from itk::ProcessObject
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
void	EnlargeOutputRequestedRegion (DataObject *data)
void	GenerateData ()
virtual const char *	GetNameOfClass () const
watershed::SegmentTreeGenerator < ScalarType > ::SegmentTreeType *	GetSegmentTree ()
	typedef (Concept::EqualityComparable< ScalarType >) InputEqualityComparableCheck
	typedef (Concept::AdditiveOperators< ScalarType >) InputAdditiveOperatorsCheck
	typedef (Concept::MultiplyOperator< double, ScalarType, ScalarType >) DoubleInputMultiplyOperatorCheck
	typedef (Concept::LessThanComparable< ScalarType >) InputLessThanComparableCheck
void	SetInput (const InputImageType *input)
virtual void	SetInput (unsigned int i, const TInputImage *image)
void	SetThreshold (double)
virtual double	GetThreshold () const
void	SetLevel (double)
virtual double	GetLevel () const
watershed::Segmenter < InputImageType > ::OutputImageType *	GetBasicSegmentation ()
Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
const InputImageType *	GetInput (void) const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
Public Member Functions inherited from itk::ImageSource< Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () 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 (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
static const unsigned int	InputImageDimension
static const unsigned int	OutputImageDimension
Static Public Attributes inherited from itk::ImageSource< Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >

Protected Member Functions
virtual void	PrepareOutputs ()
	WatershedImageFilter ()
virtual	~WatershedImageFilter ()
void	PrintSelf (std::ostream &os, Indent indent) const
Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
virtual void	GenerateInputRequestedRegion ()
	ImageToImageFilter ()
virtual void	VerifyInputInformation ()
	~ImageToImageFilter ()
void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
Protected Member Functions inherited from itk::ImageSource< Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
	ImageSource ()
virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
virtual	~ImageSource ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
bool	AddRequiredInputName (const DataObjectIdentifierType &)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedName (const DataObjectIdentifierType &) const
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromName (const DataObjectIdentifierType &) const
DataObjectIdentifierType	MakeNameFromIndex (DataObjectPointerArraySizeType) const
	ProcessObject ()
virtual void	PropagateResetPipeline ()
virtual void	ReleaseInputs ()
virtual void	RemoveInput (const DataObjectIdentifierType &key)
virtual void	RemoveInput (DataObjectPointerArraySizeType)
virtual void	RemoveOutput (const DataObjectIdentifierType &key)
virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)
virtual void	SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
virtual void	SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
void	SetRequiredInputNames (const NameArray &)
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
DataObject *	GetOutput (DataObjectPointerArraySizeType idx)
const DataObject *	GetOutput (DataObjectPointerArraySizeType idx) const
DataObject *	GetPrimaryOutput ()
const DataObject *	GetPrimaryOutput () const
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Member Functions
void	operator= (const Self &)
	WatershedImageFilter (const Self &)

Private Attributes
TimeStamp	m_GenerateDataMTime
bool	m_InputChanged
double	m_Level
bool	m_LevelChanged
unsigned long	m_ObserverTag
watershed::Relabeler < ScalarType, itkGetStaticConstMacro(ImageDimension) > ::Pointer	m_Relabeler
watershed::Segmenter < InputImageType >::Pointer	m_Segmenter
double	m_Threshold
bool	m_ThresholdChanged
watershed::SegmentTreeGenerator < ScalarType >::Pointer	m_TreeGenerator

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) >	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >	OutputToInputRegionCopierType

---

Detailed Description

template<class TInputImage>
class itk::WatershedImageFilter< TInputImage >

A low-level image analysis algorithm that automatically produces a hierarchy of segmented, labeled images from a scalar-valued image input.

Overview and terminology

This filter implements a non-streaming version of an image segmentation algorithm commonly known as ``watershed segmentation''. Watershed segmentation gets its name from the manner in which the algorithm segments regions into catchment basins. If a function is a continuous height function defined over an image domain, then a catchment basin is defined as the set of points whose paths of steepest descent terminate at the same local minimum of .

The choice of height function (input) depends on the application, and the basic watershed algorithm operates independently of that choice. For intensity-based image data, you might typically use some sort of gradient magnitude calculation as input. (see itk::GradientMagnitudeImageFilter)

The watershed algorithm proceeds in several steps. First, an initial classification of all points into catchment basin regions is done by tracing each point down its path of steepest descent to a local minima. Next, neighboring regions and the boundaries between them are analyzed according to some saliency measure (such as minimum boundary height) to produce a tree of merges among adjacent regions. These merges occur at different maximum saliency values. The collective set of all possible merges up to a specified saliency flood level'' is referred to in this documentation as a merge tree''. Metaphorically, the flood level is a value that reflects the amount of precipitation that is rained into the catchment basins. As the flood level rises, boundaries between adjacent segments erode and those segments merge. The minimum value of the flood level is zero and the maximum value is the difference between the highest and lowest values in the input image.

Note that once the initial analysis and segmentation is done to produce the merge tree, it is trivial to produce a hierarchy of labeled images in constant time. The complexity of the algorithm is in the computation of the merge tree. Once that tree has been created, the initial segmented image can be relabeled to reflect any maximum saliency value found in the tree by simply identifying a subset of segment merges from the tree.

Implementational details

This filter is a wrapper for several lower level process objects (watershed algorithm components in the namespace ``watershed''). For a more complete picture of the implementation, refer to the documentation of those components. The component classes were designed to operate in either a data-streaming or a non-data-streaming mode. The pipeline constructed in this class' GenerateData() method does not support streaming, but is the common use case for the components.

Description of the input to this filter

The input to this filter is a scalar itk::Image of any dimensionality. This input image is assumed to represent some sort of height function or edge map based on the original image that you want to segment (such as would be produced by itk::GradientMagnitudeImageFilter). This filter does not do any pre-processing on its input other than a thresholding step. The algorithm does not explicitly require that the input be of any particular data type, but floating point or double precision data is recommended.

The recommended pre-processing for scalar image input to this algorithm is to use one of the itk::AnisotropicDiffusionImageFilter subclasses to smooth the original image and then perform some sort of edge calculation based on gradients or curvature.

Description of the output of this filter

This filter will produce an itk::Image of IdentifierType integer type and of the same dimensionality as the input image. The IdentifierType output image is referred to as the ``labeled image'' in this documentation. Each pixel in the image is assigned an IdentifierType integer label that groups it within a connected region.

Some notes on filter parameters

Two parameters control the output of this filter, Threshold and Level. The units of both parameters are percentage points of the maximum height value in the input.

Threshold is used to set the absolute minimum height value used during processing. Raising this threshold percentage effectively decreases the number of local minima in the input, resulting in an initial segmentation with fewer regions. The assumption is that the shallow regions that thresholding removes are of of less interest.

The Level parameter controls the depth of metaphorical flooding of the image. That is, it sets the maximum saliency value of interest in the result. Raising and lowering the Level influences the number of segments in the basic segmentation that are merged to produce the final output. A level of 1.0 is analogous to flooding the image up to a depth that is 100 percent of the maximum value in the image. A level of 0.0 produces the basic segmentation, which will typically be very oversegmented. Level values of interest are typically low (i.e. less than about 0.40 or 40% ), since higher values quickly start to undersegment the image.

The Level parameter can be used to create a hierarchy of output images in constant time once an initial segmentation is done. A typical scenario might go like this: For the initial execution of the filter, set the Level to the maximum saliency value that you anticipate might be of interest. Once the initial Update() of this process object has finished, the Level can be manipulated anywhere below the initial setting without triggering a full update of the segmentation mini-pipeline. All that is now be required to produce the new output is a simple relabeling of the output image.

Threshold and Level parameters are controlled through the class' Get/SetThreshold() and Get/SetLevel() methods.

Notes on streaming the watershed segmentation code

Coming soon... 12/06/01

Definition at line 150 of file itkWatershedImageFilter.h.

---

Member Typedef Documentation

template<class TInputImage >

typedef InputImageType::IndexType itk::WatershedImageFilter< TInputImage >::IndexType

Definition at line 171 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef TInputImage itk::WatershedImageFilter< TInputImage >::InputImageType

The type of input image.

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 159 of file itkWatershedImageFilter.h.

template<class TInputImage >

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

The type of output image.

Reimplemented from itk::ImageSource< Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 166 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef SmartPointer< Self > itk::WatershedImageFilter< TInputImage >::Pointer

Smart pointer typedef support

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 180 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef InputImageType::RegionType itk::WatershedImageFilter< TInputImage >::RegionType

Other convenient typedefs

Definition at line 169 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef InputImageType::PixelType itk::WatershedImageFilter< TInputImage >::ScalarType

Typedef support for the input image scalar value type.

Definition at line 177 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef WatershedImageFilter itk::WatershedImageFilter< TInputImage >::Self

Standard "Self" typedef.

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 156 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef InputImageType::SizeType itk::WatershedImageFilter< TInputImage >::SizeType

Definition at line 170 of file itkWatershedImageFilter.h.

template<class TInputImage >

typedef ImageToImageFilter< InputImageType, OutputImageType > itk::WatershedImageFilter< TInputImage >::Superclass

Standard super class typedef support.

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 174 of file itkWatershedImageFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage >

itk::WatershedImageFilter< TInputImage >::WatershedImageFilter ( )

protected

End concept checking

template<class TInputImage >

virtual itk::WatershedImageFilter< TInputImage >::~WatershedImageFilter ( )

inlineprotectedvirtual

End concept checking

Definition at line 263 of file itkWatershedImageFilter.h.

template<class TInputImage >

itk::WatershedImageFilter< TInputImage >::WatershedImageFilter ( const Self &  )

private

---

Member Function Documentation

template<class TInputImage >

virtual::itk::LightObject::Pointer itk::WatershedImageFilter< TInputImage >::CreateAnother ( void  ) const

virtual

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::Object.

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::EnlargeOutputRequestedRegion ( DataObject *  )

virtual

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 from itk::ProcessObject.

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::GenerateData ( )

virtual

Standard process object method. This filter is not multithreaded.

Reimplemented from itk::ImageSource< Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage >

watershed::Segmenter< InputImageType >::OutputImageType* itk::WatershedImageFilter< TInputImage >::GetBasicSegmentation ( )

inline

Get the basic segmentation from the Segmenter member filter.

Definition at line 231 of file itkWatershedImageFilter.h.

References itk::DataObject::Update().

template<class TInputImage >

virtual double itk::WatershedImageFilter< TInputImage >::GetLevel ( ) const

virtual

Set/Get the input thresholding parameter. Units are a percentage of the maximum depth in the image.

template<class TInputImage >

virtual const char* itk::WatershedImageFilter< TInputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods)

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage >

watershed::SegmentTreeGenerator< ScalarType >::SegmentTreeType* itk::WatershedImageFilter< TInputImage >::GetSegmentTree ( )

inline

Get the segmentation tree from from the TreeGenerator member filter.

Definition at line 240 of file itkWatershedImageFilter.h.

template<class TInputImage >

virtual double itk::WatershedImageFilter< TInputImage >::GetThreshold ( ) const

virtual

Set/Get the input thresholding parameter. Units are a percentage of the maximum depth in the image.

template<class TInputImage >

static Pointer itk::WatershedImageFilter< TInputImage >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::operator= ( const Self &  )

private

PushBackInput(), PushFronInput() in the public section force the input to be the type expected by an ImageToImageFilter. However, these methods end of "hiding" the versions from the superclass (ProcessObject) whose arguments are DataObjects. Here, we re-expose the versions from ProcessObject to avoid warnings about hiding methods from the superclass.

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage >

virtual void itk::WatershedImageFilter< TInputImage >::PrepareOutputs ( )

protectedvirtual

An opportunity to Allocate/Deallocate bulk data.

Reimplemented from itk::ProcessObject.

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

End concept checking

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::SetInput ( const InputImageType *  input )

inlinevirtual

Set/Get the input thresholding parameter. Units are a percentage of the maximum depth in the image.

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 194 of file itkWatershedImageFilter.h.

References itk::ProcessObject::SetNthInput().

template<class TInputImage >

virtual void itk::WatershedImageFilter< TInputImage >::SetInput ( unsigned int  i, const TInputImage *  image  )

inlinevirtual

Set/Get the input thresholding parameter. Units are a percentage of the maximum depth in the image.

Reimplemented from itk::ImageToImageFilter< TInputImage, Image< IdentifierType,::itk::GetImageDimension< TInputImage >::ImageDimension > >.

Definition at line 209 of file itkWatershedImageFilter.h.

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::SetLevel

(

double

)

Set/Get the flood level for generating the merge tree from the initial segmentation

template<class TInputImage >

void itk::WatershedImageFilter< TInputImage >::SetThreshold

(

double

)

Set/Get the input thresholding parameter. Units are a percentage of the maximum depth in the image.

template<class TInputImage >

itk::WatershedImageFilter< TInputImage >::typedef

(

Concept::EqualityComparable< ScalarType >

)

Begin concept checking This class requires InputEqualityComparableCheck in the form of ( Concept::EqualityComparable< ScalarType > )

template<class TInputImage >

itk::WatershedImageFilter< TInputImage >::typedef

(

Concept::AdditiveOperators< ScalarType >

)

This class requires InputAdditiveOperatorsCheck in the form of ( Concept::AdditiveOperators< ScalarType > )

template<class TInputImage >

itk::WatershedImageFilter< TInputImage >::typedef

(

Concept::MultiplyOperator< double, ScalarType, ScalarType >

)

This class requires DoubleInputMultiplyOperatorCheck in the form of ( Concept::MultiplyOperator< double, ScalarType, ScalarType > )

template<class TInputImage >

itk::WatershedImageFilter< TInputImage >::typedef

(

Concept::LessThanComparable< ScalarType >

)

This class requires InputLessThanComparableCheck in the form of ( Concept::LessThanComparable< ScalarType > )

---

Member Data Documentation

template<class TInputImage >

const unsigned int itk::WatershedImageFilter< TInputImage >::ImageDimension = TInputImage::ImageDimension

static

Dimension of the input and output images.

Definition at line 163 of file itkWatershedImageFilter.h.

template<class TInputImage >

TimeStamp itk::WatershedImageFilter< TInputImage >::m_GenerateDataMTime

private

Definition at line 302 of file itkWatershedImageFilter.h.

template<class TInputImage >

bool itk::WatershedImageFilter< TInputImage >::m_InputChanged

private

Definition at line 300 of file itkWatershedImageFilter.h.

template<class TInputImage >

double itk::WatershedImageFilter< TInputImage >::m_Level

private

The percentage of the maximum saliency value among adjacencies in the segments of the initial segmentation to which ``flooding'' of the image should occur. A tree of segment merges is calculated up to this level.

Definition at line 284 of file itkWatershedImageFilter.h.

template<class TInputImage >

bool itk::WatershedImageFilter< TInputImage >::m_LevelChanged

private

Definition at line 298 of file itkWatershedImageFilter.h.

template<class TInputImage >

unsigned long itk::WatershedImageFilter< TInputImage >::m_ObserverTag

private

Definition at line 296 of file itkWatershedImageFilter.h.

template<class TInputImage >

watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension) >::Pointer itk::WatershedImageFilter< TInputImage >::m_Relabeler

private

Definition at line 294 of file itkWatershedImageFilter.h.

template<class TInputImage >

watershed::Segmenter< InputImageType >::Pointer itk::WatershedImageFilter< TInputImage >::m_Segmenter

private

The component parts of the segmentation algorithm. These objects must save state between calls to GenerateData() so that the computationally expensive execution of segment tree generation is not unnecessarily repeated.

Definition at line 290 of file itkWatershedImageFilter.h.

template<class TInputImage >

double itk::WatershedImageFilter< TInputImage >::m_Threshold

private

A Percentage of the maximum depth (max - min pixel value) in the input image. This percentage will be used to threshold the minimum values in the image.

Definition at line 278 of file itkWatershedImageFilter.h.

template<class TInputImage >

bool itk::WatershedImageFilter< TInputImage >::m_ThresholdChanged

private

Definition at line 299 of file itkWatershedImageFilter.h.

template<class TInputImage >

watershed::SegmentTreeGenerator< ScalarType >::Pointer itk::WatershedImageFilter< TInputImage >::m_TreeGenerator

private

Definition at line 292 of file itkWatershedImageFilter.h.

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

• itkWatershedImageFilter.h