#include <itkWatershedImageFilter.h>

Inheritance diagram for itk::WatershedImageFilter< TInputImage >:

Collaboration diagram for itk::WatershedImageFilter< TInputImage >:

Public Types
using	IndexType = typename InputImageType::IndexType

using	InputImageType = TInputImage

using	OutputImageType = Image< IdentifierType, Self::ImageDimension >

using	Pointer = SmartPointer< Self >

using	RegionType = typename InputImageType::RegionType

using	ScalarType = typename InputImageType::PixelType

using	Self = WatershedImageFilter

using	SizeType = typename InputImageType::SizeType

using	Superclass = ImageToImageFilter< InputImageType, OutputImageType >

Public Types inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >
using	ConstPointer = SmartPointer< const Self >

using	InputImageConstPointer = typename InputImageType::ConstPointer

using	InputImagePixelType = typename InputImageType::PixelType

using	InputImagePointer = typename InputImageType::Pointer

using	InputImageRegionType = typename InputImageType::RegionType

using	InputImageType = TInputImage

using	OutputImagePixelType = typename Superclass::OutputImagePixelType

using	OutputImageRegionType = typename Superclass::OutputImageRegionType

using	Pointer = SmartPointer< Self >

using	Self = ImageToImageFilter

using	Superclass = ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >

Public Types inherited from itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = Superclass::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType

using	OutputImagePixelType = typename OutputImageType::PixelType

using	OutputImagePointer = typename OutputImageType::Pointer

using	OutputImageRegionType = typename OutputImageType::RegionType

using	OutputImageType = Image< IdentifierType, TInputImage::ImageDimension >

using	Pointer = SmartPointer< Self >

using	Self = ImageSource

using	Superclass = ProcessObject

Public Types inherited from itk::ProcessObject
using	ConstPointer = SmartPointer< const Self >

using	DataObjectIdentifierType = DataObject::DataObjectIdentifierType

using	DataObjectPointer = DataObject::Pointer

using	DataObjectPointerArray = std::vector< DataObjectPointer >

using	DataObjectPointerArraySizeType = DataObjectPointerArray::size_type

using	MultiThreaderType = MultiThreaderBase

using	NameArray = std::vector< DataObjectIdentifierType >

using	Pointer = SmartPointer< Self >

using	Self = ProcessObject

using	Superclass = Object

Public Types inherited from itk::Object
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = Object

using	Superclass = LightObject

Public Types inherited from itk::LightObject
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () const

void	GenerateData () override

virtual const char *	GetNameOfClass () const

Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >
const InputImageType *	GetInput () const

const InputImageType *	GetInput (unsigned int idx) const

void	PopBackInput () override

void	PopFrontInput () override

virtual void	PushBackInput (const InputImageType *input)

virtual void	PushFrontInput (const InputImageType *input)

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetCoordinateTolerance (double _arg)

virtual double	GetCoordinateTolerance () const

virtual void	SetDirectionTolerance (double _arg)

virtual double	GetDirectionTolerance () const

Public Member Functions inherited from itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >
OutputImageType *	GetOutput ()

const OutputImageType *	GetOutput () const

OutputImageType *	GetOutput (unsigned int idx)

virtual void	GraftOutput (DataObject *graft)

virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)

virtual void	GraftNthOutput (unsigned int idx, DataObject *graft)

ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override

ProcessObject::DataObjectPointer	MakeOutput (const ProcessObject::DataObjectIdentifierType &) override

Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()

virtual void	AbortGenerateDataOn ()

virtual const bool &	GetAbortGenerateData () const

DataObjectPointerArray	GetIndexedInputs ()

DataObjectPointerArray	GetIndexedOutputs ()

NameArray	GetInputNames () const

DataObjectPointerArray	GetInputs ()

DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const

DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const

DataObjectPointerArraySizeType	GetNumberOfInputs () const

DataObjectPointerArraySizeType	GetNumberOfOutputs () const

virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const

NameArray	GetOutputNames () const

DataObjectPointerArray	GetOutputs ()

virtual float	GetProgress () const

NameArray	GetRequiredInputNames () const

bool	HasInput (const DataObjectIdentifierType &key) const

bool	HasOutput (const DataObjectIdentifierType &key) const

void	IncrementProgress (float increment)

virtual void	PropagateRequestedRegion (DataObject *output)

virtual void	ResetPipeline ()

virtual void	SetAbortGenerateData (bool _arg)

virtual void	Update ()

virtual void	UpdateLargestPossibleRegion ()

virtual void	UpdateOutputData (DataObject *output)

virtual void	UpdateOutputInformation ()

void	UpdateProgress (float progress)

virtual void	SetReleaseDataFlag (bool val)

virtual bool	GetReleaseDataFlag () const

void	ReleaseDataFlagOn ()

void	ReleaseDataFlagOff ()

virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)

virtual const bool &	GetReleaseDataBeforeUpdateFlag () const

virtual void	ReleaseDataBeforeUpdateFlagOn ()

virtual void	ReleaseDataBeforeUpdateFlagOff ()

virtual void	SetNumberOfWorkUnits (ThreadIdType _arg)

virtual const ThreadIdType &	GetNumberOfWorkUnits () const

MultiThreaderType *	GetMultiThreader () const

void	SetMultiThreader (MultiThreaderType *threader)

Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)

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

unsigned long	AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	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

void	Register () const override

void	RemoveAllObservers ()

void	RemoveObserver (unsigned long tag)

void	SetDebug (bool debugFlag) const

void	SetReferenceCount (int) override

void	UnRegister () const noexcept override

void	SetMetaDataDictionary (const MetaDataDictionary &rhs)

void	SetMetaDataDictionary (MetaDataDictionary &&rrhs)

virtual void	SetObjectName (std::string _arg)

virtual const std::string &	GetObjectName () const

Public Member Functions inherited from itk::LightObject
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >
static void	SetGlobalDefaultDirectionTolerance (double)

static double	GetGlobalDefaultDirectionTolerance ()

static void	SetGlobalDefaultCoordinateTolerance (double)

static double	GetGlobalDefaultCoordinateTolerance ()

Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()

static void	GlobalWarningDisplayOff ()

static void	GlobalWarningDisplayOn ()

static Pointer	New ()

static void	SetGlobalWarningDisplay (bool val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Static Public Attributes
static constexpr unsigned int	ImageDimension = TInputImage::ImageDimension

Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >
static constexpr unsigned int	InputImageDimension

static constexpr unsigned int	OutputImageDimension

Static Public Attributes inherited from itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >
static constexpr unsigned int	OutputImageDimension

double	m_Threshold { 0.0 }

double	m_Level { 0.0 }

watershed::Segmenter< InputImageType >::Pointer	m_Segmenter

watershed::SegmentTreeGenerator< ScalarType >::Pointer	m_TreeGenerator

watershed::Relabeler< ScalarType, Self::ImageDimension >::Pointer	m_Relabeler

unsigned long	m_ObserverTag

bool	m_LevelChanged

bool	m_ThresholdChanged

bool	m_InputChanged

TimeStamp	m_GenerateDataMTime

void	SetInput (const InputImageType *input) override

void	SetInput (unsigned int i, const TInputImage *image) override

void	SetThreshold (double)

virtual double	GetThreshold () const

void	SetLevel (double)

virtual double	GetLevel () const

watershed::Segmenter< InputImageType >::OutputImageType *	GetBasicSegmentation ()

watershed::SegmentTreeGenerator< ScalarType >::SegmentTreeType *	GetSegmentTree ()

void	EnlargeOutputRequestedRegion (DataObject *data) override

	WatershedImageFilter ()

	~WatershedImageFilter () override=default

void	PrintSelf (std::ostream &os, Indent indent) const override

void	PrepareOutputs () override

Additional Inherited Members
Protected Types inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >
using	InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >

using	OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >

Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, Image< IdentifierType, TInputImage::ImageDimension > >
void	PushBackInput (const DataObject *input) override

void	PushFrontInput (const DataObject *input) override

	ImageToImageFilter ()

	~ImageToImageFilter () override=default

void	PrintSelf (std::ostream &os, Indent indent) const override

void	VerifyInputInformation () ITKv5_CONST override

void	GenerateInputRequestedRegion () override

virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)

virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)

Protected Member Functions inherited from itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >
	ImageSource ()

	~ImageSource () override=default

void	GenerateData () override

void	ClassicMultiThread (ThreadFunctionType callbackFunction)

virtual void	ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)

virtual void	DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)

virtual void	AllocateOutputs ()

virtual void	BeforeThreadedGenerateData ()

virtual void	AfterThreadedGenerateData ()

virtual const ImageRegionSplitterBase *	GetImageRegionSplitter () const

virtual unsigned int	SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)

virtual bool	GetDynamicMultiThreading () const

virtual void	SetDynamicMultiThreading (bool _arg)

virtual void	DynamicMultiThreadingOn ()

virtual void	DynamicMultiThreadingOff ()

Protected Member Functions inherited from itk::ProcessObject
	ProcessObject ()

	~ProcessObject () override

DataObject *	GetInput (const DataObjectIdentifierType &key)

const DataObject *	GetInput (const DataObjectIdentifierType &key) const

DataObject *	GetInput (DataObjectPointerArraySizeType idx)

const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const

virtual void	SetInput (const DataObjectIdentifierType &key, DataObject *input)

virtual void	SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)

virtual void	AddInput (DataObject *input)

virtual void	RemoveInput (const DataObjectIdentifierType &key)

virtual void	RemoveInput (DataObjectPointerArraySizeType)

DataObject *	GetPrimaryInput ()

const DataObject *	GetPrimaryInput () const

virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryInputName () const

virtual void	SetPrimaryInput (DataObject *object)

void	SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)

virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs () const

bool	RemoveRequiredInputName (const DataObjectIdentifierType &)

bool	IsRequiredInputName (const DataObjectIdentifierType &) const

void	SetRequiredInputNames (const NameArray &)

bool	AddRequiredInputName (const DataObjectIdentifierType &)

bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

void	AddOptionalInputName (const DataObjectIdentifierType &)

void	AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)

DataObject *	GetOutput (const DataObjectIdentifierType &key)

const DataObject *	GetOutput (const DataObjectIdentifierType &key) const

virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)

virtual const char *	GetPrimaryOutputName () const

DataObject *	GetOutput (DataObjectPointerArraySizeType i)

const DataObject *	GetOutput (DataObjectPointerArraySizeType i) const

virtual void	SetOutput (const DataObjectIdentifierType &name, DataObject *output)

virtual void	RemoveOutput (const DataObjectIdentifierType &key)

DataObject *	GetPrimaryOutput ()

const DataObject *	GetPrimaryOutput () const

virtual void	SetPrimaryOutput (DataObject *object)

virtual void	SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)

virtual void	AddOutput (DataObject *output)

virtual void	RemoveOutput (DataObjectPointerArraySizeType idx)

virtual void	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)

virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs () const

void	SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)

DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const

DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const

DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const

DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const

bool	IsIndexedInputName (const DataObjectIdentifierType &) const

bool	IsIndexedOutputName (const DataObjectIdentifierType &) const

virtual void	VerifyPreconditions () ITKv5_CONST

virtual void	GenerateOutputRequestedRegion (DataObject *output)

virtual void	GenerateOutputInformation ()

virtual void	PropagateResetPipeline ()

virtual void	ReleaseInputs ()

virtual void	CacheInputReleaseDataFlags ()

virtual void	RestoreInputReleaseDataFlags ()

virtual bool	GetThreaderUpdateProgress () const

virtual void	ThreaderUpdateProgressOn ()

virtual void	ThreaderUpdateProgressOff ()

virtual void	SetThreaderUpdateProgress (bool arg)

Protected Member Functions inherited from itk::Object
	Object ()

	~Object () override

bool	PrintObservers (std::ostream &os, Indent indent) const

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

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 ()

Static Protected Member Functions inherited from itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >
static const ImageRegionSplitterBase *	GetGlobalDefaultSplitter ()

static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION	ThreaderCallback (void *arg)

Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float	progressFixedToFloat (uint32_t fixed)

static uint32_t	progressFloatToFixed (float f)

Protected Attributes inherited from itk::ImageSource< Image< IdentifierType, TInputImage::ImageDimension > >
bool	m_DynamicMultiThreading

Protected Attributes inherited from itk::ProcessObject
bool	m_Updating

TimeStamp	m_OutputInformationMTime

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

template<typename 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.

ITK Sphinx Examples:

All ITK Sphinx Examples

Watershed Image Filter

Examples: Examples/Segmentation/WatershedSegmentation1.cxx, Examples/Segmentation/WatershedSegmentation2.cxx, SphinxExamples/src/Core/Common/UseParallelizeImageRegion/Code.cxx, and SphinxExamples/src/Segmentation/Watersheds/SegmentWithWatershedImageFilter/Code.cxx.

Definition at line 149 of file itkWatershedImageFilter.h.

Member Typedef Documentation

◆ IndexType

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::IndexType = typename InputImageType::IndexType

Definition at line 170 of file itkWatershedImageFilter.h.

◆ InputImageType

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::InputImageType = TInputImage

The type of input image.

Definition at line 159 of file itkWatershedImageFilter.h.

◆ OutputImageType

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::OutputImageType = Image<IdentifierType, Self::ImageDimension>

The type of output image.

Definition at line 165 of file itkWatershedImageFilter.h.

◆ Pointer

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::Pointer = SmartPointer<Self>

Smart pointer type alias support

Definition at line 179 of file itkWatershedImageFilter.h.

◆ RegionType

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::RegionType = typename InputImageType::RegionType

Other convenient type alias

Definition at line 168 of file itkWatershedImageFilter.h.

◆ ScalarType

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::ScalarType = typename InputImageType::PixelType

Typedef support for the input image scalar value type.

Definition at line 176 of file itkWatershedImageFilter.h.

◆ Self

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::Self = WatershedImageFilter

Standard "Self" type alias.

Definition at line 156 of file itkWatershedImageFilter.h.

◆ SizeType

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::SizeType = typename InputImageType::SizeType

Definition at line 169 of file itkWatershedImageFilter.h.

◆ Superclass

template<typename TInputImage >

using itk::WatershedImageFilter< TInputImage >::Superclass = ImageToImageFilter<InputImageType, OutputImageType>

Standard super class type alias support

Definition at line 173 of file itkWatershedImageFilter.h.

Constructor & Destructor Documentation

◆ WatershedImageFilter()

template<typename TInputImage >

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

protected

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.

◆ ~WatershedImageFilter()

template<typename TInputImage >

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

overrideprotecteddefault

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.

Member Function Documentation

◆ CreateAnother()

template<typename TInputImage >

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

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage >

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

overridevirtual

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.

Reimplemented from itk::ProcessObject.

◆ GenerateData()

template<typename TInputImage >

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

overridevirtual

Standard process object method. This filter is not multithreaded.

Reimplemented from itk::ProcessObject.

◆ GetBasicSegmentation()

template<typename TInputImage >

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

inline

Get the basic segmentation from the Segmenter member filter.

Definition at line 239 of file itkWatershedImageFilter.h.

References itk::ProcessObject::Update().

◆ GetLevel()

template<typename TInputImage >

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

virtual

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.

◆ GetNameOfClass()

template<typename TInputImage >

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

virtual

Run-time type information (and related methods)

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

◆ GetSegmentTree()

template<typename TInputImage >

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

inline

Get the segmentation tree from from the TreeGenerator member filter.

Definition at line 248 of file itkWatershedImageFilter.h.

References itk::watershed::SegmentTreeGenerator< TScalar >::GetOutputSegmentTree().

◆ GetThreshold()

template<typename TInputImage >

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

virtual

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.

◆ New()

template<typename TInputImage >

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

static

Method for creation through the object factory.

◆ PrepareOutputs()

template<typename TInputImage >

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

overrideprotectedvirtual

An opportunity to Allocate/Deallocate bulk data.

Reimplemented from itk::ProcessObject.

◆ PrintSelf()

template<typename TInputImage >

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

overrideprotectedvirtual

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.

Reimplemented from itk::ProcessObject.

◆ SetInput() [1/2]

template<typename TInputImage >

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

inlineoverridevirtual

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.

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

Definition at line 195 of file itkWatershedImageFilter.h.

References itk::ProcessObject::SetNthInput().

◆ SetInput() [2/2]

template<typename TInputImage >

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

inlineoverridevirtual

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.

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

Definition at line 211 of file itkWatershedImageFilter.h.

◆ SetLevel()

template<typename TInputImage >

void itk::WatershedImageFilter< TInputImage >::SetLevel ( double )

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

◆ SetThreshold()

template<typename TInputImage >

void itk::WatershedImageFilter< TInputImage >::SetThreshold ( double )

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

Member Data Documentation

◆ ImageDimension

template<typename TInputImage >

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

staticconstexpr

Dimension of the input and output images.

Definition at line 162 of file itkWatershedImageFilter.h.

◆ m_GenerateDataMTime

template<typename TInputImage >

TimeStamp itk::WatershedImageFilter< TInputImage >::m_GenerateDataMTime

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 305 of file itkWatershedImageFilter.h.

◆ m_InputChanged

template<typename TInputImage >

bool itk::WatershedImageFilter< TInputImage >::m_InputChanged

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 303 of file itkWatershedImageFilter.h.

◆ m_Level

template<typename TInputImage >

double itk::WatershedImageFilter< TInputImage >::m_Level { 0.0 }

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 287 of file itkWatershedImageFilter.h.

◆ m_LevelChanged

template<typename TInputImage >

bool itk::WatershedImageFilter< TInputImage >::m_LevelChanged

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 301 of file itkWatershedImageFilter.h.

◆ m_ObserverTag

template<typename TInputImage >

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

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 299 of file itkWatershedImageFilter.h.

◆ m_Relabeler

template<typename TInputImage >

watershed::Relabeler<ScalarType, Self::ImageDimension>::Pointer itk::WatershedImageFilter< TInputImage >::m_Relabeler

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 297 of file itkWatershedImageFilter.h.

◆ m_Segmenter

template<typename 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 293 of file itkWatershedImageFilter.h.

◆ m_Threshold

template<typename TInputImage >

double itk::WatershedImageFilter< TInputImage >::m_Threshold { 0.0 }

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 281 of file itkWatershedImageFilter.h.

◆ m_ThresholdChanged

template<typename TInputImage >

bool itk::WatershedImageFilter< TInputImage >::m_ThresholdChanged

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 302 of file itkWatershedImageFilter.h.

◆ m_TreeGenerator

template<typename TInputImage >

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

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 295 of file itkWatershedImageFilter.h.

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

itkWatershedImageFilter.h

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Additional Inherited Members

Detailed Description

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

Member Typedef Documentation

◆ IndexType

◆ InputImageType

◆ OutputImageType

◆ Pointer

◆ RegionType

◆ ScalarType

◆ Self

◆ SizeType

◆ Superclass

Constructor & Destructor Documentation

◆ WatershedImageFilter()

◆ ~WatershedImageFilter()

Member Function Documentation

◆ CreateAnother()

◆ EnlargeOutputRequestedRegion()

◆ GenerateData()

◆ GetBasicSegmentation()

◆ GetLevel()

◆ GetNameOfClass()

◆ GetSegmentTree()

◆ GetThreshold()

◆ New()

◆ PrepareOutputs()

◆ PrintSelf()

◆ SetInput() [1/2]

◆ SetInput() [2/2]

◆ SetLevel()

◆ SetThreshold()

Member Data Documentation

◆ ImageDimension

◆ m_GenerateDataMTime

◆ m_InputChanged

◆ m_Level

◆ m_LevelChanged

◆ m_ObserverTag

◆ m_Relabeler

◆ m_Segmenter

◆ m_Threshold

◆ m_ThresholdChanged

◆ m_TreeGenerator

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