This class computes a co-occurence matrix (histogram) from a given image and a mask image if provided. Coocurrence matrces are used for image texture description. More...

#include <itkScalarImageToCooccurrenceMatrixFilter.h>

Inheritance diagram for itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >:

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Collaboration diagram for itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >:

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List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef HistogramType::ConstPointer	HistogramConstPointer
typedef HistogramType::Pointer	HistogramPointer
typedef Histogram < MeasurementType, THistogramFrequencyContainer >	HistogramType
typedef ImageType::ConstPointer	ImageConstPointer
typedef ImageType::Pointer	ImagePointer
typedef TImageType	ImageType
typedef NumericTraits < PixelType >::RealType	MeasurementType
typedef HistogramType::MeasurementVectorType	MeasurementVectorType
typedef ImageType::OffsetType	OffsetType
typedef VectorContainer < unsigned char, OffsetType >	OffsetVector
typedef OffsetVector::ConstPointer	OffsetVectorConstPointer
typedef OffsetVector::Pointer	OffsetVectorPointer
typedef ImageType::PixelType	PixelType
typedef SmartPointer< Self >	Pointer
typedef ImageType::SizeType	RadiusType
typedef ImageType::RegionType	RegionType
typedef ScalarImageToCooccurrenceMatrixFilter	Self
typedef ProcessObject	Superclass
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
DataObjectPointerArray &	GetInputs ()
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
const HistogramType *	GetOutput () const
virtual const float &	GetProgress ()
virtual int	GetReferenceCount () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
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
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetProgress (float _arg)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)


virtual void	SetOffsets (const OffsetVector *_arg)
virtual const OffsetVector *	GetOffsets ()
void	SetOffset (const OffsetType offset)


virtual void	SetNumberOfBinsPerAxis (unsigned int _arg)
virtual unsigned int	GetNumberOfBinsPerAxis () const


void	SetPixelValueMinMax (PixelType min, PixelType max)
virtual PixelType	GetMin () const
virtual PixelType	GetMax () const


virtual void	SetNormalize (bool _arg)
virtual bool	GetNormalize () const
virtual void	NormalizeOn ()
virtual void	NormalizeOff ()


void	SetInput (const ImageType *image)
const ImageType *	GetInput () const


void	SetMaskImage (const ImageType *image)
const ImageType *	GetMaskImage () const


virtual void	SetInsidePixelValue (PixelType _arg)
virtual PixelType	GetInsidePixelValue () const


DataObjectPointerArray &	GetOutputs ()
DataObjectPointerArraySizeType	GetNumberOfOutputs () 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 (int _arg)
virtual const int &	GetNumberOfThreads ()


unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()


static void	SetGlobalWarningDisplay (bool flag)
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOn ()
static void	GlobalWarningDisplayOff ()
Static Public Attributes
static const unsigned int	DefaultBinsPerAxis = 256
Protected Types
typedef DataObject::Pointer	DataObjectPointer


typedef int	InternalReferenceCountType
Protected Member Functions
virtual void	CacheInputReleaseDataFlags ()
virtual void	FillHistogram (RadiusType radius, RegionType region)
virtual void	FillHistogramWithMask (RadiusType radius, RegionType region, const ImageType *maskImage)
virtual void	GenerateData ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual DataObjectPointer	MakeOutput (unsigned int idx)
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual void	PropagateResetPipeline ()
virtual void	ReleaseInputs ()
virtual void	RestoreInputReleaseDataFlags ()
	ScalarImageToCooccurrenceMatrixFilter ()
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
virtual	~ScalarImageToCooccurrenceMatrixFilter ()


virtual void	SetNthInput (unsigned int num, DataObject *input)
virtual void	AddInput (DataObject *input)
virtual void	RemoveInput (DataObject *input)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual const unsigned int &	GetNumberOfRequiredInputs ()


virtual void	PushBackInput (const DataObject *input)
virtual void	PopBackInput ()
virtual void	PushFrontInput (const DataObject *input)
virtual void	PopFrontInput ()


DataObject *	GetInput (unsigned int idx)
const DataObject *	GetInput (unsigned int idx) const


virtual void	SetNthOutput (unsigned int num, DataObject *output)
virtual void	AddOutput (DataObject *output)
virtual void	RemoveOutput (DataObject *output)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)
virtual const unsigned int &	GetNumberOfRequiredOutputs ()


DataObject *	GetOutput (unsigned int idx)
const DataObject *	GetOutput (unsigned int idx) const


virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
Protected Attributes
TimeStamp	m_OutputInformationMTime
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
bool	m_Updating

Detailed Description

template<class TImageType, class THistogramFrequencyContainer = DenseFrequencyContainer2>
class itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >

This class computes a co-occurence matrix (histogram) from a given image and a mask image if provided. Coocurrence matrces are used for image texture description.

This filters creates a grey-level co-occurence matrix from a N-D scalar image. This is the first step in texture description a la Haralick. (See Haralick, R.M., K. Shanmugam and I. Dinstein. 1973. Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics. SMC-3(6):610-620. See also Haralick, R.M. 1979. Statistical and Structural Approaches to Texture. Proceedings of the IEEE, 67:786-804.)

The basic idea is as follows: Given an image and an offset (e.g. (1, -1) for a 2-d image), grey-level co-occurences are pairs of intensity values for a specific pixel and the pixel at that offset from the specified pixel. These co-occurences can provide information about the visual texture of an image region -- for example, an eight-bit image of alternating pixel-wide white and black vertical lines would have a large number of (0, 255) and (255, 0) co-occurences for offset (1, 0).

The offset (or offsets) along which the co-occurences are calculated can be set by the user. Traditionally, only one offset is used per histogram, and offset components in the range [-1, 1] are used. For rotation-invariant features, averages of features computed over several histograms with different offsets are generally used, instead of computing features from one histogram created with several offsets. Additionally, instead of using offsets of two or more pixels in any direction, multy-resulution techniques (e.g. image pyramids) are generally used to deal with texture at different spatial resolutions.

This class calculates a 2-d histogram of all the co-occurence pairs in the given image's requested region, for a given set of offsets. That is, if a given offset falls outside of the requested region at a particular point, that co-occurrence pair will not be added to the matrix.

The number of histogram bins on each axis can be set (defaults to 256). Also, by default the histogram min and max corresponds to the largest and smallest possible pixel value of that pixel type. To customize the histogram bounds for a given image, the max and min pixel values that will be placed in the histogram can be set manually. NB: The min and max are INCLUSIVE.

Further, the type of histogram frequency container used is an optional template parameter. By default, a dense container is used, but for images with little texture or in cases where the user wants more histogram bins, a sparse container can be used for the histogram instead.

WARNING: This probably won't work for pixels of double or long-double type unless you set the histogram min and max manually. This is because the largest histogram bin by default has max value of the largest possible pixel value plus 1. For double and long-double types, whose "RealType" as defined by the NumericTraits class is the same, and thus cannot hold any larger values, this would cause a float overflow.

See also:: MaskedScalarImageToCooccurrenceMatrixFilter; HistogramToTextureFeaturesFilter; ScalarImageTextureCalculator

Author:: Zachary Pincus and Glenn Pierce

Definition at line 94 of file itkScalarImageToCooccurrenceMatrixFilter.h.

Member Typedef Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef SmartPointer<const Self> itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ConstPointer

Reimplemented from itk::ProcessObject.

Definition at line 101 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef DataObject::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::DataObjectPointer [protected]

Standard itk::ProcessObject subclass method.

Reimplemented from itk::ProcessObject.

Definition at line 185 of file itkScalarImageToCooccurrenceMatrixFilter.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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef HistogramType::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramConstPointer

Definition at line 125 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef HistogramType::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramPointer

Definition at line 124 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef Histogram< MeasurementType, THistogramFrequencyContainer > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramType

Definition at line 123 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ImageType::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImageConstPointer

Definition at line 111 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ImageType::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImagePointer

Definition at line 110 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef TImageType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImageType

Definition at line 107 of file itkScalarImageToCooccurrenceMatrixFilter.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.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef NumericTraits<PixelType>::RealType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MeasurementType

Definition at line 120 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef HistogramType::MeasurementVectorType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MeasurementVectorType

Definition at line 126 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ImageType::OffsetType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetType

Definition at line 115 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef VectorContainer<unsigned char, OffsetType> itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVector

Definition at line 116 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef OffsetVector::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorConstPointer

Definition at line 118 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef OffsetVector::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorPointer

Definition at line 117 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ImageType::PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::PixelType

Definition at line 112 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef SmartPointer<Self> itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Pointer

Reimplemented from itk::ProcessObject.

Definition at line 100 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ImageType::SizeType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::RadiusType

Definition at line 114 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ImageType::RegionType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::RegionType

Definition at line 113 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ScalarImageToCooccurrenceMatrixFilter itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Self

Standard typedefs

Reimplemented from itk::ProcessObject.

Definition at line 98 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

typedef ProcessObject itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Superclass

Reimplemented from itk::ProcessObject.

Definition at line 99 of file itkScalarImageToCooccurrenceMatrixFilter.h.

Constructor & Destructor Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToCooccurrenceMatrixFilter ( ) [protected]

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::~ScalarImageToCooccurrenceMatrixFilter ( ) [inline, protected, virtual]

Definition at line 178 of file itkScalarImageToCooccurrenceMatrixFilter.h.

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]

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

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

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

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

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 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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::FillHistogram	(	RadiusType	radius,
		RegionType	region
	)			`[protected, virtual]`

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::FillHistogramWithMask	(	RadiusType	radius,
		RegionType	region,
		const ImageType *	maskImage
	)			`[protected, virtual]`

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GenerateData ( ) [protected, virtual]

This method causes the filter to generate its output.

Reimplemented from itk::ProcessObject.

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

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).

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.

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

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

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

Method used internally for getting an input.

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

Method used internally for getting an input.

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

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

const ImageType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetInput ( ) const

Method to set/get the image

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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetInsidePixelValue ( ) const [virtual]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

const ImageType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage ( ) const

Method to set/get the mask image

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMax ( ) const [virtual]

Set the min and max (inclusive) pixel value that will be placed in the histogram

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

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

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

Returns:: A constant reference to this objects MetaDataDictionary.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMin ( ) const [virtual]

Set the min and max (inclusive) pixel value that will be placed in the histogram

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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual const char* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual bool itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetNormalize ( ) const [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual unsigned int itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetNumberOfBinsPerAxis ( ) const [virtual]

Set number of histogram bins along each axis

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]

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

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

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

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

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

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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual const OffsetVector* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOffsets ( ) [virtual]

Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.

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

Method used internally for getting an output.

Referenced by itk::watershed::Segmenter< InputImageType >::GetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::GetEquivalencyTable(), itk::TwoOutputExampleImageFilter< TImage >::GetInverseOutput(), itk::watershed::Segmenter< InputImageType >::GetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::GetOutputImage(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::GetOutputImage(), itk::watershed::SegmentTreeGenerator< ScalarType >::GetOutputSegmentTree(), and itk::watershed::Segmenter< InputImageType >::GetSegmentTable().

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

Method used internally for getting an output.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

const HistogramType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOutput ( ) const

method to get the Histogram

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.

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]

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 bool itk::ProcessObject::GetReleaseDataFlag ( ) const [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.

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().

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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual DataObjectPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MakeOutput ( unsigned int idx ) [protected, virtual]

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

Reimplemented from itk::ProcessObject.

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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

static Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::New ( ) [static]

standard New() method support

Reimplemented from itk::Object.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::NormalizeOff ( ) [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::NormalizeOn ( ) [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

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

Push/Pop an 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.

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

Push/Pop an 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.

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]`

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.

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

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)			const `[protected, virtual]`

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::ProcessObject.

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

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.

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.

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

Push/Pop an 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.

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

Push/Pop an 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.

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]

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::ReleaseDataBeforeUpdateFlagOn ( ) [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.

void itk::ProcessObject::ReleaseDataFlagOff ( ) [inline, 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.

Definition at line 257 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( ) [inline, 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.

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]

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

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]

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

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.

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().

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInput ( const ImageType * image )

Method to set/get the image

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInsidePixelValue ( PixelType _arg ) [virtual]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage ( const ImageType * image )

Method to set/get the mask image

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

Returns:: Set the MetaDataDictionary

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetNormalize ( bool _arg ) [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

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().

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetNumberOfBinsPerAxis ( unsigned int _arg ) [virtual]

Set number of histogram bins along each axis

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]

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

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

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

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

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

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetOffset ( const OffsetType offset )

Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetOffsets ( const OffsetVector * _arg ) [virtual]

Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax	(	PixelType	min,
		PixelType	max
	)

Set the min and max (inclusive) pixel value that will be placed in the histogram

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.

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.

Member Data Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>

const unsigned int itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::DefaultBinsPerAxis = 256 [static]

Definition at line 129 of file itkScalarImageToCooccurrenceMatrixFilter.h.

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

Time when GenerateOutputInformation was last called.

Definition at line 431 of file itkProcessObject.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.

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.

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

itkScalarImageToCooccurrenceMatrixFilter.h

itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer > Class Template Reference

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Protected Attributes

Detailed Description

template<class TImageType, class THistogramFrequencyContainer = DenseFrequencyContainer2> class itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class TImageType, class THistogramFrequencyContainer = DenseFrequencyContainer2>
class itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >