itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage > Class Template Reference
[Fuzzy Connectedness-based Segmentation Filters]

Perform segmentation on grayscale images using method of fuzzy connectedness. More...

#include <itkSimpleFuzzyConnectednessScalarImageFilter.h>

Inheritance diagram for itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >:

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Collaboration diagram for itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >:

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List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef FuzzySceneType::Pointer	FuzzyScenePointer
typedef UShortImage	FuzzySceneType
typedef Superclass::IndexType	IndexType
typedef InputImageType::ConstPointer	InputImageConstPointer
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef Superclass::OutputImagePixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef Superclass::OutputImageRegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef OutputImageType::PixelType	OutputPixelType
typedef Superclass::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef std::queue< IndexType >	QueueType
typedef OutputImageType::RegionType	RegionType
typedef SimpleFuzzyConnectednessScalarImageFilter	Self
typedef Superclass::SizeType	SizeType
typedef SimpleFuzzyConnectednessImageFilterBase < TInputImage, TOutputImage >	Superclass
typedef Image< unsigned short, itkGetStaticConstMacro(ImageDimension)>	UShortImage
Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
virtual double	GetDiff_Mean ()
virtual double	GetDiff_Variance ()
const FuzzySceneType *	GetFuzzyScene (void) const
DataObjectPointerArray &	GetInputs ()
virtual double	GetMean ()
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
MultiThreader *	GetMultiThreader ()
virtual const char *	GetNameOfClass () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
virtual double	GetVariance ()
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
virtual DataObjectPointer	MakeOutput (unsigned int idx)
void	MakeSegmentObject ()
virtual void	Modified () const
virtual void	PrepareOutputs ()
void	Print (std::ostream &os, Indent indent=0) const
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
void	SetDebug (bool debugFlag) const
virtual void	SetDiff_Mean (double _arg)
virtual void	SetDiff_Variance (double _arg)
virtual void	SetMean (double _arg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
void	SetParameters (const double inmean, const double invar, const double indifmean, const double indifvar, const double inweight)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	SetVariance (double _arg)
virtual void	UnRegister () const
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
void	UpdateThreshold (const double x)


virtual OutputPixelType	GetInsideValue ()
virtual const IndexType &	GetObjectSeed ()
virtual OutputPixelType	GetOutsideValue ()
virtual double	GetThreshold ()
virtual double	GetWeight ()
virtual void	SetInsideValue (OutputPixelType _arg)
virtual void	SetObjectSeed (IndexType _arg)
virtual void	SetOutsideValue (OutputPixelType _arg)
virtual void	SetThreshold (double _arg)
virtual void	SetWeight (double _arg)


OutputImageType *	GetOutput (unsigned int idx)
OutputImageType *	GetOutput (void)
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()
Static Public Attributes
static const unsigned int	ImageDimension = TInputImage::ImageDimension
Protected Types
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)>	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)>	OutputToInputRegionCopierType
Protected Member Functions
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
virtual void	CacheInputReleaseDataFlags ()
virtual void	CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
virtual void	CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
double	FindStrongPath (const IndexType &center)
virtual double	FuzzyAffinity (const PixelType f1, const PixelType f2)
void	GenerateData ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PropagateResetPipeline ()
void	PushNeighbors (const IndexType &center)
virtual void	ReleaseInputs ()
virtual void	RestoreInputReleaseDataFlags ()
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
	SimpleFuzzyConnectednessScalarImageFilter ()
virtual int	SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId) ITK_NO_RETURN
	~SimpleFuzzyConnectednessScalarImageFilter ()
Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)
Protected Attributes
double	m_Diff_Mean
double	m_Diff_Variance
FuzzyScenePointer	m_FuzzyScene
InputImageConstPointer	m_InputImage
double	m_Mean
IndexType	m_ObjectSeed
TimeStamp	m_OutputInformationMTime
QueueType	m_Queue
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
OutputImagePointer	m_SegmentObject
SizeType	m_Size
double	m_Threshold
bool	m_Updating
double	m_Variance
double	m_Weight

static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static void	SetGlobalWarningDisplay (bool flag)
unsigned long	AddObserver (const EventObject &event, Command *) const
unsigned long	AddObserver (const EventObject &event, Command *)

const InputImageType *	GetInput (unsigned int idx)
const InputImageType *	GetInput (void)
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
virtual void	SetInput (const InputImageType *image)
void	PushBackInput (const DataObject *input)
void	PushFrontInput (const DataObject *input)
static const unsigned int	InputImageDimension
static const unsigned int	OutputImageDimension

DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual const int &	GetNumberOfThreads ()
DataObjectPointerArray &	GetOutputs ()
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual bool	GetReleaseDataFlag () const
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
void	ReleaseDataFlagOff ()
void	ReleaseDataFlagOn ()
virtual void	SetNumberOfThreads (int _arg)
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual void	SetReleaseDataFlag (bool flag)
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
const DataObject *	GetInput (unsigned int idx) const
virtual const unsigned int &	GetNumberOfRequiredInputs ()
virtual const unsigned int &	GetNumberOfRequiredOutputs ()
const DataObject *	GetOutput (unsigned int idx) const
virtual void	RemoveInput (DataObject *input)
virtual void	RemoveOutput (DataObject *output)
virtual void	SetNthInput (unsigned int num, DataObject *input)
virtual void	SetNthOutput (unsigned int num, DataObject *output)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)

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

Detailed Description

template<class TInputImage, class TOutputImage>
class itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >

Perform segmentation on grayscale images using method of fuzzy connectedness.

Perform the segmentation for a single channel (Grayscale) image via thresholding of a fuzzy connectedness scene. Used as a node of the segmentation toolkit. Fuzzy affinity is defined between two neighboor pixels, to reflect their similarity and assign a probability that these two pixels belong to the same object. A "path" between two pixels is a list of pixels that connect them, the strength of a particular path is defined as the weakest affinity between the neighboor pixels that form the path. The fuzzy connectedness between two pixels is defined as the strongest path strength between these two pixels. The segmentation based on fuzzy connectedness assumes that the fuzzy connectedness between any two pixels from a single object is significantly higher than those for pixels belonging to different objects. A fuzzy connectedness scene is first computed for a set of input seed points selected inside the object of interest. A threshold is then applied to the fuzzy scene to extract the binary segmented object. The fuzzy affinity here was defined as a gaussian function of the pixel difference and the difference of the estimated object mean and the mean of the two input pixels.

Input Parameters are: (1) Input image in the form itkImage (2) Seed points (3) Threshold value.

Usage: 1. use SetInput to import the input image object 2. use SetParameter, SetSeed, SetThreshold to set the parameters 3. run GenerateData() to perform the segmenation 4. threshold can be set using UpdateThreshold after the segmentation, and no computation will be redo. no need to run GenerateData. But if SetThreshold was used. MakeSegmentObject() should be called to get the updated result. 5. use GetOutput to obtain the resulted binary image Object. 6. GetFuzzyScene gives the pointer of Image<unsigned short> for the fuzzy scene.

Detailed information about this algorithm can be found in: "Fuzzy Connectedness and Object Definition: Theory, Algorithms, and Applications in Image Segmentation", J. Udupa and S. Samarasekera Graphical Models and Image Processing, Vol.58, No.3. pp 246-261, 1996.

Definition at line 74 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

typedef SmartPointer<const Self> itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::ConstPointer

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 83 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TOutputImage>

typedef DataObject::Pointer itk::ImageSource< TOutputImage >::DataObjectPointer [inherited]

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::LabelStatisticsImageFilter< TInputImage, TLabelImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::StreamingImageFilter< TInputImage, TOutputImage >, itk::LabelGeometryImageFilter< TLabelImage, TIntensityImage >, and itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray [inherited]

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

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

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

typedef FuzzySceneType::Pointer itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::FuzzyScenePointer [inherited]

Definition at line 87 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

typedef UShortImage itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::FuzzySceneType [inherited]

Definition at line 86 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::IndexType itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::IndexType

Region, size, and pixel types.

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 90 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::ConstPointer itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::InputImageConstPointer [inherited]

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 88 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

typedef InputImageType::PixelType itk::ImageToImageFilter< TInputImage , TOutputImage >::InputImagePixelType [inherited]

Definition at line 86 of file itkImageToImageFilter.h.

typedef InputImageType::Pointer itk::ImageToImageFilter< TInputImage , TOutputImage >::InputImagePointer [inherited]

Definition at line 83 of file itkImageToImageFilter.h.

typedef InputImageType::RegionType itk::ImageToImageFilter< TInputImage , TOutputImage >::InputImageRegionType [inherited]

Definition at line 85 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::InputImageType [inherited]

Convenient typedefs.

Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.

Definition at line 78 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension)> itk::ImageToImageFilter< TInputImage , TOutputImage >::InputToOutputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an input region to an output region.

Definition at line 164 of file itkImageToImageFilter.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

typedef Superclass::OutputImagePixelType itk::ImageToImageFilter< TInputImage , TOutputImage >::OutputImagePixelType [inherited]

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 79 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::Pointer itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::OutputImagePointer [inherited]

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 92 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

typedef Superclass::OutputImageRegionType itk::ImageToImageFilter< TInputImage , TOutputImage >::OutputImageRegionType [inherited]

Superclass typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 75 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::OutputImageType [inherited]

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 79 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::PixelType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::OutputPixelType [inherited]

Definition at line 91 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

typedef ImageToImageFilterDetail::ImageRegionCopier<itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension)> itk::ImageToImageFilter< TInputImage , TOutputImage >::OutputToInputRegionCopierType [protected, inherited]

Typedef for the region copier function object that converts an output region to an input region.

Definition at line 169 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::PixelType itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::PixelType

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 95 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef SmartPointer<Self> itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::Pointer

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 82 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::queue<IndexType> itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::QueueType [inherited]

Definition at line 89 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::RegionType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::RegionType [inherited]

Definition at line 90 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

typedef SimpleFuzzyConnectednessScalarImageFilter itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::Self

Standard class typedefs.

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 79 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Superclass::SizeType itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SizeType

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 94 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef SimpleFuzzyConnectednessImageFilterBase<TInputImage,TOutputImage> itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::Superclass

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

Definition at line 81 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef Image<unsigned short, itkGetStaticConstMacro(ImageDimension)> itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::UShortImage [inherited]

Definition at line 81 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SimpleFuzzyConnectednessScalarImageFilter ( ) [protected]

template<class TInputImage , class TOutputImage >

itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::~SimpleFuzzyConnectednessScalarImageFilter ( ) [protected]

Member Function Documentation

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

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

Turn on and off the AbortGenerateData flag.

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

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

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

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

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

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

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

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

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AfterThreadedGenerateData ( void ) [inline, protected, virtual, inherited]

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 265 of file itkImageSource.h.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::AllocateOutputs ( ) [protected, virtual, inherited]

The GenerateData method normally allocates the buffers for all of the outputs of a filter. Some filters may want to override this default behavior. For example, a filter may have multiple outputs with varying resolution. Or a filter may want to process data in place by grafting its input to its output.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::BeforeThreadedGenerateData ( void ) [inline, protected, virtual, inherited]

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 253 of file itkImageSource.h.

static void itk::LightObject::BreakOnError ( ) [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

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

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::CallCopyInputRegionToOutputRegion	(	OutputImageRegionType &	destRegion,
		const InputImageRegionType &	srcRegion
	)			`[protected, virtual, inherited]`

This function calls the actual region copier to do the mapping from input image space to output image space. It uses a Function object used for dispatching to various routines to copy an input region (start index and size) to an output region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::UnaryFunctorImageFilter can support output images of a higher dimension that the input.

This function object is used by the default implementation of GenerateOutputInformation(). It can also be used in routines like ThreadedGenerateData() where a filter may need to map an input region to an output region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the first portion of the input region is copied to the output region. If the input region is a lower dimension than the output, the input region information is copied into the first portion of the output region and the rest of the output region is set to zero.

If a filter needs a different default behavior, it can override this method.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::CallCopyOutputRegionToInputRegion	(	InputImageRegionType &	destRegion,
		const OutputImageRegionType &	srcRegion
	)			`[protected, virtual, inherited]`

This function calls the actual region copier to do the mapping from output image space to input image space. It uses a Function object used for dispatching to various routines to copy an output region (start index and size) to an input region. For most filters, this is a trivial copy because most filters require the input dimension to match the output dimension. However, some filters like itk::ExtractImageFilter can support output images of a lower dimension that the input.

This function object can be used by GenerateOutputInformation() to copy the input LargestPossibleRegion to the output LargestPossibleRegion and can also be used in GenerateData or ThreadedGenerateData() where a filter may need to map an output region to an input region.

The default copier uses a "dispatch pattern" to call one of three overloaded functions depending on whether the input and output images are the same dimension, the input is a higher dimension that the output, or the input is of a lower dimension than the output. The use of an overloaded function is required for proper compilation of the various cases.

For the latter two cases, trivial implementations are used. If the input image is a higher dimension than the output, the output region information is copied into the first portion of the input region and the rest of the input region is set to zero. If the input region is a lower dimension than the output, the first portion of the output region is copied to the input region.

If a filter needs a different default behavior, it can override this method. The ExtractImageFilter overrides this function object so that if the input image is a higher dimension than the output image, the filter can control "where" in the input image the output subimage is extracted (as opposed to mapping to first few dimensions of the input).

virtual LightObject::Pointer itk::Object::CreateAnother ( ) const [virtual, inherited]

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

Reimplemented from itk::LightObject.

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

Turn debugging output off.

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

Turn debugging output on.

virtual void itk::LightObject::Delete ( ) [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject * ) [inline, virtual, inherited]

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Definition at line 225 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::FindStrongPath ( const IndexType & center ) [protected, inherited]

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::FuzzyAffinity	(	const PixelType	PixelType,
		const PixelType	PixelType
	)			`[protected, virtual]`

Define the fuzzy affinity function between two pixels.

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GenerateData ( ) [protected, virtual, inherited]

Standard pipeline method.

Reimplemented from itk::ImageSource< TOutputImage >.

Reimplemented in itk::SimpleFuzzyConnectednessRGBImageFilter< TInputImage, TOutputImage >.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::GenerateInputRequestedRegion ( void ) [protected, virtual, inherited]

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierachy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See also:: ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

Reimplemented from itk::ProcessObject.

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

Generate the information decribing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

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

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 in itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Segmenter< TInputImage >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::Segmenter< InputImageType >, and itk::watershed::SegmentTreeGenerator< ScalarType >.

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

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Command* itk::Object::GetCommand ( unsigned long tag ) [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

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

Get the value of the debug flag.

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::GetDiff_Mean ( ) [virtual]

Get the Estimation of the mean difference between neighbor pixels for the object.

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::GetDiff_Variance ( ) [virtual]

Get the Estimation of the variance of the difference between pixels for the object.

template<class TInputImage , class TOutputImage >

const FuzzySceneType* itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GetFuzzyScene ( void ) const [inline, inherited]

Extract the FuzzyScene not thresholded.

Definition at line 129 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

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

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

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

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

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

const InputImageType* itk::ImageToImageFilter< TInputImage , TOutputImage >::GetInput ( unsigned int idx ) [inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

const InputImageType* itk::ImageToImageFilter< TInputImage , TOutputImage >::GetInput ( void ) [inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

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

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

virtual OutputPixelType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GetInsideValue ( ) [virtual, inherited]

Set/Get the value to assign to the inside of the segmented object. By default this value is set to the maximum value of the output pixel type

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::GetMean ( ) [virtual]

Get the Estimation of the mean difference between neighbor pixels for the object.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) const [inherited]

Returns:: A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) [inherited]

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

virtual unsigned long itk::Object::GetMTime ( ) const [virtual, inherited]

Return this objects modified time.

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

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

Return the multithreader used by this class.

Definition at line 284 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

virtual const char* itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

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

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

Definition at line 118 of file itkProcessObject.h.

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

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

Definition at line 135 of file itkProcessObject.h.

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

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

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

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

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

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

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

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

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

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

template<class TInputImage , class TOutputImage >

virtual const IndexType& itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GetObjectSeed ( ) [virtual, inherited]

Set/Get the value to assign to the inside of the segmented object. By default this value is set to the maximum value of the output pixel type

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

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

template<class TOutputImage>

OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( unsigned int idx ) [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();

   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

Reimplemented from itk::ProcessObject.

template<class TOutputImage>

OutputImageType* itk::ImageSource< TOutputImage >::GetOutput ( void ) [inherited]

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

   anotherFilter->SetInput( someFilter->GetOutput() );
   anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

   image = someFilter->GetOutput();
   image->Update();

   someFilter->Update();
   image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

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

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

Definition at line 133 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

virtual OutputPixelType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GetOutsideValue ( ) [virtual, inherited]

Set/Get the value to assign to the inside of the segmented object. By default this value is set to the maximum value of the output pixel type

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

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

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

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

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

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

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

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

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

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GetThreshold ( ) [virtual, inherited]

Set/Get the value to assign to the inside of the segmented object. By default this value is set to the maximum value of the output pixel type

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::GetVariance ( ) [virtual]

Get the Estimation of the variance of the difference between pixels for the object.

template<class TInputImage , class TOutputImage >

virtual double itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::GetWeight ( ) [virtual, inherited]

Set/Get the value to assign to the inside of the segmented object. By default this value is set to the maximum value of the output pixel type

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

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftNthOutput	(	unsigned int	idx,
		DataObject *	output
	)			`[virtual, inherited]`

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::GraftOutput ( DataObject * output ) [virtual, inherited]

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

    // setup the mini-pipeline to process the input to this filter
    firstFilterInMiniPipeline->SetInput( this->GetInput() );

    // setup the mini-pipeline to calculate the correct regions
    // and write to the appropriate bulk data block
    lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );

    // execute the mini-pipeline
    lastFilterInMiniPipeline->Update();

    // graft the mini-pipeline output back onto this filter's output.
    // this is needed to get the appropriate regions passed back.
    this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

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

Return true if an observer is registered for this event.

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

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

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

Call Execute on all the Commands observing this event id.

template<class TOutputImage>

virtual DataObjectPointer itk::ImageSource< TOutputImage >::MakeOutput ( unsigned int idx ) [virtual, inherited]

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 SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

Reimplemented in itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >, itk::EigenAnalysis2DImageFilter< TInputImage, TEigenValueImage, TEigenVectorImage >, itk::MinimumMaximumImageFilter< TInputImage >, itk::SignedDanielssonDistanceMapImageFilter< TInputImage, TOutputImage >, itk::StatisticsImageFilter< TInputImage >, itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, THistogram >, itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >, and itk::MaskedMovingHistogramImageFilter< TInputImage, TMaskImage, TOutputImage, TKernel, MaskedRankHistogram< TInputImage::PixelType > >.

template<class TInputImage , class TOutputImage >

void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::MakeSegmentObject ( ) [inherited]

Update the binary result (needed after an update the threshold).

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

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

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

template<class TInputImage , class TOutputImage >

static Pointer itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::New ( ) [static]

Method for creation through the object factory.

Reimplemented from itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PopBackInput ( ) [virtual, inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PopFrontInput ( ) [virtual, inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

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

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

Reimplemented in itk::WatershedImageFilter< TInputImage >.

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

Cause the object to print itself out.

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

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

Define the type of the reference count according to the target. This allows the use of atomic operations

bool itk::Object::PrintObservers	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, inherited]`

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::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::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >.

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

Define the type of the reference count according to the target. This allows the use of atomic operations

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

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

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

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

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

void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput ( const DataObject * input ) [inline, protected, virtual, inherited]

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::ProcessObject.

Definition at line 251 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushBackInput ( const InputImageType * image ) [virtual, inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFrontInput ( const DataObject * input ) [inline, protected, virtual, inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

Reimplemented from itk::ProcessObject.

Definition at line 253 of file itkImageToImageFilter.h.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::PushFrontInput ( const InputImageType * image ) [virtual, inherited]

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

template<class TInputImage , class TOutputImage >

void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::PushNeighbors ( const IndexType & center ) [protected, inherited]

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

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

Reimplemented from itk::LightObject.

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

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

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

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

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

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

Definition at line 257 of file itkProcessObject.h.

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

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

Definition at line 256 of file itkProcessObject.h.

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

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

See also:: InPlaceImageFilter::ReleaseInputs()

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

Remove all observers .

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

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

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

Remove the observer with this tag value.

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

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

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

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

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

Restore the cached input ReleaseDataFlags.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool _arg ) [virtual, inherited]

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

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

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

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SetDiff_Mean ( double _arg ) [virtual]

Set the Estimation of the mean difference between neighbor pixels for the object.

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SetDiff_Variance ( double _arg ) [virtual]

Set the Estimation of the variance of the difference between pixels for the object.

static void itk::Object::SetGlobalWarningDisplay ( bool flag ) [static, inherited]

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

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::SetInput	(	unsigned	int,
		const TInputImage *	image
	)			`[virtual, inherited]`

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

The routines are useful for applications that need to process "rolling" sets of images. For instance, if an application has 10 images and they need to run a filter on images 1, 2, 3, 4, then run the filter on images 2, 3, 4, 5, then run the filter on images 3, 4, 5, 6, the application can accomplish this by popping an input off the front of the input list and push a new image onto the back of input list. Again, this only makes sense for filters that single type of input.

Other uses are also possible. For a single input filter, pushing and popping inputs allow the application to temporarily replace an input to a filter.

virtual void itk::ImageToImageFilter< TInputImage , TOutputImage >::SetInput ( const InputImageType * image ) [virtual, inherited]

Set/Get the image input of this process object.

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::SetInsideValue ( OutputPixelType _arg ) [virtual, inherited]

Set/Get the value to assign to the inside of the segmented object. By default this value is set to the maximum value of the output pixel type

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SetMean ( double _arg ) [virtual]

Set the Estimation of the mean difference between neighbor pixels for the object.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs ) [inherited]

Returns:: Set the MetaDataDictionary

virtual void itk::ProcessObject::SetNthInput	(	unsigned int	num,
		DataObject *	input
	)			`[protected, virtual, inherited]`

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

Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryA(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetBoundaryB(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetEquivalencyTable(), itk::SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >::SetFeatureImage(), itk::NarrowBandLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetFeatureImage(), itk::WatershedImageFilter< TInputImage >::SetInput(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::SetInputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetInputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::SetInputSegmentTable(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetInputSegmentTree(), itk::DiffusionTensor3DReconstructionImageFilter< TReferenceImagePixelType, TGradientImagePixelType, TTensorPixelType >::SetReferenceImage(), and itk::ChangeInformationImageFilter< TInputImage >::SetReferenceImage().

virtual void itk::ProcessObject::SetNthOutput	(	unsigned int	num,
		DataObject *	output
	)			`[protected, virtual, inherited]`

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

Referenced by itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::watershed::Segmenter< InputImageType >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), and itk::watershed::Segmenter< InputImageType >::SetSegmentTable().

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

Called to allocate the input array. Copies old inputs.

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

Called to allocate the output array. Copies old outputs.

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

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

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

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

virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg ) [virtual, inherited]

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

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::SetObjectSeed ( IndexType _arg ) [virtual, inherited]

Setting the starting point, believed to be inside the object.

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::SetOutsideValue ( OutputPixelType _arg ) [virtual, inherited]

Set/Get the value to assign to the outside of the segmented object. By default this value is set to the minimum value of the output pixel type

template<class TInputImage , class TOutputImage >

void itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SetParameters	(	const double	inmean,
		const double	invar,
		const double	indifmean,
		const double	indifvar,
		const double	inweight
	)

Setting the parameters for segmentation.

virtual void itk::ProcessObject::SetProgress ( float _arg ) [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

virtual void itk::Object::SetReferenceCount ( int ) [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool _arg ) [virtual, inherited]

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

virtual void itk::ProcessObject::SetReleaseDataFlag ( bool flag ) [virtual, inherited]

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

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::SetThreshold ( double _arg ) [virtual, inherited]

Set/Get the threshold value for the segmentation. This threshold value is scaled with respect to the range of the unsigned short type. The resulting value is used to thresold the affinity map and generate a binary image as output.

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::SetVariance ( double _arg ) [virtual]

Set the Estimation of the variance of the difference between pixels for the object.

template<class TInputImage , class TOutputImage >

virtual void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::SetWeight ( double _arg ) [virtual, inherited]

Set/Get the weight of the first term (standard statistics) in the affinity computation.

template<class TOutputImage>

virtual int itk::ImageSource< TOutputImage >::SplitRequestedRegion	(	int	i,
		int	num,
		OutputImageRegionType &	splitRegion
	)			`[protected, virtual, inherited]`

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

Reimplemented in itk::SignedMaurerDistanceMapImageFilter< TInputImage, TOutputImage >.

template<class TOutputImage>

virtual void itk::ImageSource< TOutputImage >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		int	threadId
	)			`[protected, virtual, inherited]`

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:: GenerateData(), SplitRequestedRegion()

template<class TOutputImage>

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TOutputImage >::ThreaderCallback ( void * arg ) [static, protected, inherited]

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

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

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

Reimplemented in itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >, itk::MedialNodePairCorrespondenceProcess< TSourceImage >, itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >, itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >, itk::ImageFileWriter< TInputImage >, and itk::ImageSeriesWriter< TInputImage, TOutputImage >.

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

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

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

Actually generate new output

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

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

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 in itk::watershed::Segmenter< TInputImage >, itk::VTKImageImport< TOutputImage >, and itk::watershed::Segmenter< InputImageType >.

void itk::ProcessObject::UpdateProgress ( float amount ) [inherited]

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

template<class TInputImage , class TOutputImage >

void itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::UpdateThreshold ( const double x ) [inherited]

A simple combination of SetThreshold and MakeSegmentObject methods.

Member Data Documentation

template<class TInputImage , class TOutputImage >

const unsigned int itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::ImageDimension = TInputImage::ImageDimension [static, inherited]

Capture the image dimension from the input template parameters.

Definition at line 75 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

const unsigned int itk::ImageToImageFilter< TInputImage , TOutputImage >::InputImageDimension [static, inherited]

ImageDimension constants

Definition at line 90 of file itkImageToImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::m_Diff_Mean [protected]

Definition at line 140 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::m_Diff_Variance [protected]

Definition at line 141 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

FuzzyScenePointer itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_FuzzyScene [protected, inherited]

Definition at line 149 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

InputImageConstPointer itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_InputImage [protected, inherited]

Definition at line 148 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::m_Mean [protected]

Definition at line 138 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

IndexType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_ObjectSeed [protected, inherited]

Definition at line 145 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

TimeStamp itk::ProcessObject::m_OutputInformationMTime [protected, inherited]

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

QueueType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_Queue [protected, inherited]

Definition at line 152 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

template<class TInputImage , class TOutputImage >

OutputImagePointer itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_SegmentObject [protected, inherited]

Definition at line 150 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

SizeType itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_Size [protected, inherited]

Definition at line 146 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_Threshold [protected, inherited]

Definition at line 144 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

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

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

Definition at line 428 of file itkProcessObject.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >::m_Variance [protected]

Definition at line 139 of file itkSimpleFuzzyConnectednessScalarImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::SimpleFuzzyConnectednessImageFilterBase< TInputImage, TOutputImage >::m_Weight [protected, inherited]

Definition at line 143 of file itkSimpleFuzzyConnectednessImageFilterBase.h.

const unsigned int itk::ImageToImageFilter< TInputImage , TOutputImage >::OutputImageDimension [static, inherited]

ImageDimension constants

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 92 of file itkImageToImageFilter.h.

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

itkSimpleFuzzyConnectednessScalarImageFilter.h

itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage > Class Template Reference [Fuzzy Connectedness-based Segmentation Filters]

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Detailed Description

template<class TInputImage, class TOutputImage> class itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage > Class Template Reference
[Fuzzy Connectedness-based Segmentation Filters]

template<class TInputImage, class TOutputImage>
class itk::SimpleFuzzyConnectednessScalarImageFilter< TInputImage, TOutputImage >