#include <itkScalarImageToRunLengthFeaturesFilter.h>

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

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

List of all members.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef VectorContainer < unsigned char, RunLengthFeatureName >	FeatureNameVector
typedef FeatureNameVector::ConstPointer	FeatureNameVectorConstPointer
typedef FeatureNameVector::Pointer	FeatureNameVectorPointer
typedef VectorContainer < unsigned char, double >	FeatureValueVector
typedef DataObjectDecorator < FeatureValueVector >	FeatureValueVectorDataObjectType
typedef FeatureValueVector::Pointer	FeatureValueVectorPointer
typedef THistogramFrequencyContainer	FrequencyContainerType
typedef RunLengthMatrixFilterType::HistogramType	HistogramType
typedef ImageType::Pointer	ImagePointer
typedef TImageType	ImageType
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 short	RunLengthFeatureName
typedef HistogramToRunLengthFeaturesFilter < HistogramType >	RunLengthFeaturesFilterType
typedef ScalarImageToRunLengthMatrixFilter < ImageType, FrequencyContainerType >	RunLengthMatrixFilterType
typedef ScalarImageToRunLengthFeaturesFilter	Self
typedef ProcessObject	Superclass
Public Types inherited from itk::ProcessObject
typedef DataObject::DataObjectIdentifierType	DataObjectIdentifierType
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef std::vector < DataObjectIdentifierType >	NameArray
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual void	FastCalculationsOff ()
virtual void	FastCalculationsOn ()
virtual bool	GetFastCalculations () const
const FeatureValueVectorDataObjectType *	GetFeatureMeansOutput () const
const FeatureValueVectorDataObjectType *	GetFeatureStandardDeviationsOutput () const
const ImageType *	GetInput () const
const ImageType *	GetMaskImage () const
virtual const char *	GetNameOfClass () const
virtual void	SetFastCalculations (bool _arg)
void	SetInput (const ImageType *)
void	SetInsidePixelValue (PixelType InsidePixelValue)
void	SetMaskImage (const ImageType *)
void	SetNumberOfBinsPerAxis (unsigned int)

virtual const FeatureValueVector::Pointer &	GetFeatureMeans () const
virtual const FeatureValueVector::Pointer &	GetFeatureStandardDeviations () const

virtual void	SetRequestedFeatures (const FeatureNameVector *_arg)
virtual const FeatureNameVector *	GetRequestedFeatures ()

virtual void	SetOffsets (const OffsetVector *_arg)
virtual const OffsetVector *	GetOffsets ()

void	SetPixelValueMinMax (PixelType min, PixelType max)

void	SetDistanceValueMinMax (double min, double max)
Public Member Functions inherited from itk::ProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
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 Types
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType

Protected Member Functions
void	FastCompute ()
void	FullCompute ()
virtual void	GenerateData ()
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType)
void	PrintSelf (std::ostream &os, Indent indent) const
	ScalarImageToRunLengthFeaturesFilter ()
virtual	~ScalarImageToRunLengthFeaturesFilter ()
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	GenerateInputRequestedRegion ()
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	VerifyInputInformation ()
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
virtual void	PushBackInput (const DataObject *input)
virtual void	PopBackInput ()
virtual void	PushFrontInput (const DataObject *input)
virtual void	PopFrontInput ()
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 Attributes
bool	m_FastCalculations
FeatureValueVectorPointer	m_FeatureMeans
FeatureValueVectorPointer	m_FeatureStandardDeviations
OffsetVectorConstPointer	m_Offsets
FeatureNameVectorConstPointer	m_RequestedFeatures
RunLengthMatrixFilterType::Pointer	m_RunLengthMatrixGenerator

Additional Inherited Members
Protected Attributes inherited from itk::ProcessObject
bool	m_Updating
TimeStamp	m_OutputInformationMTime

Detailed Description

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

This class computes run length descriptions from an image.

By default, run length features are computed for each spatial direction and then averaged afterward, so it is possible to access the standard deviations of the texture features. These values give a clue as to texture anisotropy. However, doing this is much more work, because it involved computing one for each offset given. To compute a single matrix using the first offset, call FastCalculationsOn(). If this is called, then the texture standard deviations will not be computed (and will be set to zero), but texture computation will be much faster.

This class is templated over the input image type.

Template Parameters: The image type, and the type of histogram frequency container. If you are using a large number of bins per axis, a sparse frequency container may be advisable. The default is to use a dense frequency container.

Inputs and parameters:

An image
A mask defining the region over which texture features will be calculated. (Optional)
The pixel value that defines the "inside" of the mask. (Optional, defaults to 1 if a mask is set.)
The set of features to be calculated. These features are defined in the HistogramToRunLengthFeaturesFilter class.
The number of intensity bins. (Optional, defaults to 256.)
The set of directions (offsets) to average across. (Optional, defaults to {(-1, 0), (-1, -1), (0, -1), (1, -1)} for 2D images and scales analogously for ND images.)
The pixel intensity range over which the features will be calculated. (Optional, defaults to the full dynamic range of the pixel type.)
The distance range over which the features will be calculated. (Optional, defaults to the full dynamic range of double type.)

In general, the default parameter values should be sufficient.

Outputs: (1) The average value of each feature. (2) The standard deviation in the values of each feature.

Print references: M. M. Galloway. Texture analysis using gray level run lengths. Computer Graphics and Image Processing, 4:172-179, 1975.

A. Chu, C. M. Sehgal, and J. F. Greenleaf. Use of gray value distribution of run lengths for texture analysis. Pattern Recognition Letters, 11:415-420, 1990.

B. R. Dasarathy and E. B. Holder. Image characterizations based on joint gray-level run-length distributions. Pattern Recognition Letters, 12:490-502, 1991.

IJ article: http://hdl.handle.net/1926/1374

See also:: ScalarImageToRunLengthFeaturesFilter; ScalarImageToRunLengthMatrixFilter; HistogramToRunLengthFeaturesFilter

Author:: : Nick Tustison

Definition at line 96 of file itkScalarImageToRunLengthFeaturesFilter.h.