itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage > Class Template Reference

#include <itkVectorConfidenceConnectedImageFilter.h>

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

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DistanceThresholdFunctionType::CovarianceMatrixType	CovarianceMatrixType
typedef DistanceThresholdFunctionType::Pointer	DistanceThresholdFunctionPointer
typedef MahalanobisDistanceThresholdImageFunction < InputImageType >	DistanceThresholdFunctionType
typedef InputImageType::IndexType	IndexType
typedef InputImageType::PixelType	InputImagePixelType
typedef InputImageType::Pointer	InputImagePointer
typedef InputImageType::RegionType	InputImageRegionType
typedef TInputImage	InputImageType
typedef DistanceThresholdFunctionType::MeanVectorType	MeanVectorType
typedef OutputImageType::PixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef OutputImageType::RegionType	OutputImageRegionType
typedef TOutputImage	OutputImageType
typedef SmartPointer< Self >	Pointer
typedef std::vector< IndexType >	SeedsContainerType
typedef VectorConfidenceConnectedImageFilter	Self
typedef InputImageType::SizeType	SizeType
typedef ImageToImageFilter < TInputImage, TOutputImage >	Superclass
Public Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef InputImageType::ConstPointer	InputImageConstPointer
Public Types inherited from itk::ImageSource< TOutputImage >
typedef Superclass::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef Superclass::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType
Public Types inherited from itk::ProcessObject
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
void	AddSeed (const IndexType &seed)
void	ClearSeeds ()
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
const CovarianceMatrixType &	GetCovariance () const
const MeanVectorType &	GetMean () const
virtual const char *	GetNameOfClass () const
virtual const SeedsContainerType &	GetSeeds () const
void	PrintSelf (std::ostream &os, Indent indent) const
void	SetSeed (const IndexType &seed)
	typedef (Concept::EqualityComparable< OutputImagePixelType >) OutputEqualityComparableCheck
	typedef (Concept::HasNumericTraits< typename InputImagePixelType::ValueType >) InputHasNumericTraitsCheck
	typedef (Concept::OStreamWritable< OutputImagePixelType >) OutputOStreamWritableCheck
virtual void	SetMultiplier (double _arg)
virtual double	GetMultiplier () const
virtual void	SetNumberOfIterations (unsigned int _arg)
virtual unsigned int	GetNumberOfIterations () const
virtual void	SetReplaceValue (OutputImagePixelType _arg)
virtual OutputImagePixelType	GetReplaceValue () const
virtual void	SetInitialNeighborhoodRadius (unsigned int _arg)
virtual const unsigned int &	GetInitialNeighborhoodRadius ()
Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
const InputImageType *	GetInput (void) const
const InputImageType *	GetInput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PushBackInput (const InputImageType *image)
virtual void	PushFrontInput (const InputImageType *image)
virtual void	SetInput (const InputImageType *image)
virtual void	SetInput (unsigned int, const TInputImage *image)
Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType *	GetOutput (unsigned int idx)
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
virtual void	GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
OutputImageType *	GetOutput (void)
const OutputImageType *	GetOutput (void) const
virtual ProcessObject::DataObjectPointer	MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual const bool &	GetAbortGenerateData ()
NameArray	GetInputNames () const
MultiThreader *	GetMultiThreader () const
DataObjectPointerArraySizeType	GetNumberOfIndexedInputs () const
DataObjectPointerArraySizeType	GetNumberOfInputs () const
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
NameArray	GetOutputNames () const
virtual const float &	GetProgress ()
NameArray	GetRequiredInputNames () const
bool	HasInput (const DataObjectIdentifierType &key) const
bool	HasOutput (const DataObjectIdentifierType &key) const
virtual DataObjectPointer	MakeOutput (const DataObjectIdentifierType &)
virtual void	PrepareOutputs ()
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetProgress (float _arg)
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)
DataObjectPointerArray	GetInputs ()
DataObjectPointerArray	GetOutputs ()
DataObjectPointerArray	GetIndexedInputs ()
DataObjectPointerArray	GetIndexedOutputs ()
DataObjectPointerArraySizeType	GetNumberOfIndexedOutputs () const
virtual void	SetReleaseDataFlag (bool flag)
virtual bool	GetReleaseDataFlag () const
void	ReleaseDataFlagOn ()
void	ReleaseDataFlagOff ()
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	SetNumberOfThreads (ThreadIdType _arg)
virtual const ThreadIdType &	GetNumberOfThreads ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

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

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

Private Attributes
unsigned int	m_InitialNeighborhoodRadius
double	m_Multiplier
unsigned int	m_NumberOfIterations
OutputImagePixelType	m_ReplaceValue
SeedsContainerType	m_Seeds
DistanceThresholdFunctionPointer	m_ThresholdFunction

Additional Inherited Members
Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
static const unsigned int	InputImageDimension = TInputImage::ImageDimension
static const unsigned int	OutputImageDimension = TOutputImage::ImageDimension
Static Public Attributes inherited from itk::ImageSource< TOutputImage >
Protected Types inherited from itk::ImageToImageFilter< TInputImage, TOutputImage >
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(OutputImageDimension), itkGetStaticConstMacro(InputImageDimension) >	InputToOutputRegionCopierType
typedef ImageToImageFilterDetail::ImageRegionCopier < itkGetStaticConstMacro(InputImageDimension), itkGetStaticConstMacro(OutputImageDimension) >	OutputToInputRegionCopierType

---

Detailed Description

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

Segment pixels with similar statistics using connectivity.

This filter extracts a connected set of pixels whose pixel intensities are consistent with the pixel statistics of a seed point. The mean and variance across a neighborhood (8-connected, 26-connected, etc.) are calculated for a seed point. Then pixels connected to this seed point whose values are within the confidence interval for the seed point are grouped. The width of the confidence interval is controlled by the "Multiplier" variable (the confidence interval is the mean plus or minus the "Multiplier" times the standard deviation). If the intensity variations across a segment were gaussian, a "Multiplier" setting of 2.5 would define a confidence interval wide enough to capture 99% of samples in the segment.

After this initial segmentation is calculated, the mean and variance are re-calculated. All the pixels in the previous segmentation are used to calculate the mean the standard deviation (as opposed to using the pixels in the neighborhood of the seed point). The segmentation is then recalculted using these refined estimates for the mean and variance of the pixel values. This process is repeated for the specified number of iterations. Setting the "NumberOfIterations" to zero stops the algorithm after the initial segmentation from the seed point.

NOTE: the lower and upper threshold are restricted to lie within the valid numeric limits of the input data pixel type. Also, the limits may be adjusted to contain the seed point's intensity.

Definition at line 59 of file itkVectorConfidenceConnectedImageFilter.h.

---

Member Typedef Documentation

template<class TInputImage , class TOutputImage >

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

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

Definition at line 67 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef DistanceThresholdFunctionType::CovarianceMatrixType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::CovarianceMatrixType

Definition at line 94 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef DistanceThresholdFunctionType::Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::DistanceThresholdFunctionPointer

Definition at line 97 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef MahalanobisDistanceThresholdImageFunction< InputImageType > itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::DistanceThresholdFunctionType

Definition at line 92 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::IndexType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::IndexType

Definition at line 80 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::PixelType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImagePixelType

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

Definition at line 79 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImagePointer

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

Definition at line 77 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::RegionType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImageRegionType

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

Definition at line 78 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TInputImage itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::InputImageType

Some convenient typedefs.

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

Definition at line 74 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef DistanceThresholdFunctionType::MeanVectorType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::MeanVectorType

Definition at line 95 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::PixelType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImagePixelType

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

Definition at line 86 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImagePointer

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 84 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef OutputImageType::RegionType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImageRegionType

Superclass typedefs.

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

Definition at line 85 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef TOutputImage itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::OutputImageType

Some convenient typedefs.

Reimplemented from itk::ImageSource< TOutputImage >.

Definition at line 83 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

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

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

Definition at line 66 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef std::vector< IndexType > itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SeedsContainerType

Definition at line 88 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

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

Standard class typedefs.

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

Definition at line 64 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef InputImageType::SizeType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SizeType

Definition at line 81 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

typedef ImageToImageFilter< TInputImage, TOutputImage > itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::Superclass

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

Definition at line 65 of file itkVectorConfidenceConnectedImageFilter.h.

---

Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >

itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::VectorConfidenceConnectedImageFilter ( )

protected

End concept checking

template<class TInputImage , class TOutputImage >

itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::VectorConfidenceConnectedImageFilter ( const Self &  )

private

---

Member Function Documentation

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::AddSeed

(

const IndexType &

seed

)

Add seed point.

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::ClearSeeds

(

)

Remove all seeds

template<class TInputImage , class TOutputImage >

virtual::itk::LightObject::Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::CreateAnother ( void  ) const

virtual

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

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::EnlargeOutputRequestedRegion ( DataObject *  )

protectedvirtual

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

Reimplemented from itk::ProcessObject.

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GenerateData ( )

protectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling ThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter an be threaded, it should NOT provide a GenerateData() method but should provide a ThreadedGenerateData() instead.

See also:

ThreadedGenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GenerateInputRequestedRegion ( )

protectedvirtual

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 hierarchy. 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::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

const CovarianceMatrixType& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetCovariance

(

)

const

Get the Covariance matrix computed during the segmentation

template<class TInputImage , class TOutputImage >

virtual const unsigned int& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetInitialNeighborhoodRadius ( )

virtual

Get/Set the radius of the neighborhood over which the statistics are evaluated

template<class TInputImage , class TOutputImage >

const MeanVectorType& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetMean

(

)

const

Get the Mean Vector computed during the segmentation

template<class TInputImage , class TOutputImage >

virtual double itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetMultiplier ( ) const

virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

template<class TInputImage , class TOutputImage >

virtual const char* itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

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

template<class TInputImage , class TOutputImage >

virtual unsigned int itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetNumberOfIterations ( ) const

virtual

Set/Get the number of iterations

template<class TInputImage , class TOutputImage >

virtual OutputImagePixelType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetReplaceValue ( ) const

virtual

Set/Get value to replace thresholded pixels

template<class TInputImage , class TOutputImage >

virtual const SeedsContainerType& itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::GetSeeds ( ) const

virtual

Method to access seed container

template<class TInputImage , class TOutputImage >

static Pointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::New ( )

static

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::operator= ( const Self &  )

private

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

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

template<class TInputImage , class TOutputImage >

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

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::ImageToImageFilter< TInputImage, TOutputImage >.

template<class TInputImage , class TOutputImage >

virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetInitialNeighborhoodRadius ( unsigned int  _arg )

virtual

Get/Set the radius of the neighborhood over which the statistics are evaluated

template<class TInputImage , class TOutputImage >

virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetMultiplier ( double  _arg )

virtual

Set/Get the multiplier to define the confidence interval. Multiplier can be anything greater than zero. A typical value is 2.5

template<class TInputImage , class TOutputImage >

virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetNumberOfIterations ( unsigned int  _arg )

virtual

Set/Get the number of iterations

template<class TInputImage , class TOutputImage >

virtual void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetReplaceValue ( OutputImagePixelType  _arg )

virtual

Set/Get value to replace thresholded pixels

template<class TInputImage , class TOutputImage >

void itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::SetSeed

(

const IndexType &

seed

)

Set seed point. This method is deprecated, please use AddSeed()

template<class TInputImage , class TOutputImage >

itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::typedef

(

Concept::EqualityComparable< OutputImagePixelType >

)

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

template<class TInputImage , class TOutputImage >

itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::typedef

(

Concept::HasNumericTraits< typename InputImagePixelType::ValueType >

)

This class requires InputHasNumericTraitsCheck in the form of ( Concept::HasNumericTraits< typename InputImagePixelType::ValueType > )

template<class TInputImage , class TOutputImage >

itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::typedef

(

Concept::OStreamWritable< OutputImagePixelType >

)

This class requires OutputOStreamWritableCheck in the form of ( Concept::OStreamWritable< OutputImagePixelType > )

---

Member Data Documentation

template<class TInputImage , class TOutputImage >

unsigned int itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_InitialNeighborhoodRadius

private

Definition at line 175 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

double itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_Multiplier

private

Definition at line 172 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

unsigned int itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_NumberOfIterations

private

Definition at line 173 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

OutputImagePixelType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_ReplaceValue

private

Definition at line 174 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

SeedsContainerType itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_Seeds

private

Definition at line 171 of file itkVectorConfidenceConnectedImageFilter.h.

template<class TInputImage , class TOutputImage >

DistanceThresholdFunctionPointer itk::VectorConfidenceConnectedImageFilter< TInputImage, TOutputImage >::m_ThresholdFunction

private

Definition at line 177 of file itkVectorConfidenceConnectedImageFilter.h.

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

• itkVectorConfidenceConnectedImageFilter.h