itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram > Class Template Reference

#include <itkHistogramToRunLengthFeaturesFilter.h>

Inheritance diagram for itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >:

Collaboration diagram for itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >:

Detailed Description

template<class THistogram>
class itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >

This class computes texture feature coefficients from a grey level run-length matrix.

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 histogram type.

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 66 of file itkHistogramToRunLengthFeaturesFilter.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef HistogramType::TotalAbsoluteFrequencyType	FrequencyType
typedef HistogramType::ConstPointer	HistogramConstPointer
typedef HistogramType::Pointer	HistogramPointer
typedef THistogram	HistogramType
typedef HistogramType::IndexType	IndexType
typedef SimpleDataObjectDecorator < MeasurementType >	MeasurementObjectType
typedef HistogramType::MeasurementType	MeasurementType
typedef HistogramType::MeasurementVectorType	MeasurementVectorType
typedef SmartPointer< Self >	Pointer
enum	RunLengthFeatureName {   ShortRunEmphasis,   LongRunEmphasis,   GreyLevelNonuniformity,   RunLengthNonuniformity,   LowGreyLevelRunEmphasis,   HighGreyLevelRunEmphasis,   ShortRunLowGreyLevelEmphasis,   ShortRunHighGreyLevelEmphasis,   LongRunLowGreyLevelEmphasis,   LongRunHighGreyLevelEmphasis }
typedef HistogramToRunLengthFeaturesFilter	Self
typedef ProcessObject	Superclass
Public Types inherited from itk::ProcessObject
typedef SmartPointer< const Self >	ConstPointer
typedef DataObject::DataObjectIdentifierType	DataObjectIdentifierType
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef std::vector < DataObjectIdentifierType >	NameArray
typedef SmartPointer< Self >	Pointer
typedef ProcessObject	Self
typedef Object	Superclass
Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef Object	Self
typedef LightObject	Superclass
Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
MeasurementType	GetFeature (RunLengthFeatureName name)
virtual const char *	GetNameOfClass () const
virtual unsigned long	GetTotalNumberOfRuns ()
void	SetInput (const HistogramType *histogram)
const HistogramType *	GetInput () const
MeasurementType	GetShortRunEmphasis () const
const MeasurementObjectType *	GetShortRunEmphasisOutput () const
MeasurementType	GetLongRunEmphasis () const
const MeasurementObjectType *	GetLongRunEmphasisOutput () const
MeasurementType	GetGreyLevelNonuniformity () const
const MeasurementObjectType *	GetGreyLevelNonuniformityOutput () const
MeasurementType	GetRunLengthNonuniformity () const
const MeasurementObjectType *	GetRunLengthNonuniformityOutput () const
MeasurementType	GetLowGreyLevelRunEmphasis () const
const MeasurementObjectType *	GetLowGreyLevelRunEmphasisOutput () const
MeasurementType	GetHighGreyLevelRunEmphasis () const
const MeasurementObjectType *	GetHighGreyLevelRunEmphasisOutput () const
MeasurementType	GetShortRunLowGreyLevelEmphasis () const
const MeasurementObjectType *	GetShortRunLowGreyLevelEmphasisOutput () const
MeasurementType	GetShortRunHighGreyLevelEmphasis () const
const MeasurementObjectType *	GetShortRunHighGreyLevelEmphasisOutput () const
MeasurementType	GetLongRunLowGreyLevelEmphasis () const
const MeasurementObjectType *	GetLongRunLowGreyLevelEmphasisOutput () const
MeasurementType	GetLongRunHighGreyLevelEmphasis () const
const MeasurementObjectType *	GetLongRunHighGreyLevelEmphasisOutput () const
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 ModifiedTimeType	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
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	GenerateData ()
	HistogramToRunLengthFeaturesFilter ()
virtual DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType)
void	PrintSelf (std::ostream &os, Indent indent) const
	~HistogramToRunLengthFeaturesFilter ()
Protected Member Functions inherited from itk::ProcessObject
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredOutputs ()
bool	IsIndexedInputName (const DataObjectIdentifierType &) const
bool	IsIndexedOutputName (const DataObjectIdentifierType &) const
	itkLegacyMacro (virtual void RemoveOutput(DataObject *output))
	itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num))
	itkLegacyMacro (virtual void RemoveInput(DataObject *input))
	itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num))
DataObjectPointerArraySizeType	MakeIndexFromInputName (const DataObjectIdentifierType &name) const
DataObjectPointerArraySizeType	MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
DataObjectIdentifierType	MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
DataObjectIdentifierType	MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) 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)
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	SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
virtual void	SetOutput (const DataObjectIdentifierType &key, DataObject *output)
virtual void	SetPrimaryInput (DataObject *input)
virtual void	SetPrimaryOutput (DataObject *output)
virtual void	VerifyInputInformation ()
virtual void	VerifyPreconditions ()
	~ProcessObject ()
DataObject *	GetInput (const DataObjectIdentifierType &key)
const DataObject *	GetInput (const DataObjectIdentifierType &key) const
DataObject *	GetInput (DataObjectPointerArraySizeType idx)
const DataObject *	GetInput (DataObjectPointerArraySizeType idx) const
virtual void	PushBackInput (const DataObject *input)
virtual void	PopBackInput ()
virtual void	PushFrontInput (const DataObject *input)
virtual void	PopFrontInput ()
DataObject *	GetPrimaryInput ()
const DataObject *	GetPrimaryInput () const
virtual void	SetPrimaryInputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryInputName (void) const
virtual void	SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
virtual const DataObjectPointerArraySizeType &	GetNumberOfRequiredInputs ()
bool	AddRequiredInputName (const DataObjectIdentifierType &)
bool	AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
bool	RemoveRequiredInputName (const DataObjectIdentifierType &)
bool	IsRequiredInputName (const DataObjectIdentifierType &) const
void	SetRequiredInputNames (const NameArray &)
DataObject *	GetOutput (const DataObjectIdentifierType &key)
const DataObject *	GetOutput (const DataObjectIdentifierType &key) const
virtual void	SetPrimaryOutputName (const DataObjectIdentifierType &key)
virtual const char *	GetPrimaryOutputName (void) 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
	HistogramToRunLengthFeaturesFilter (const Self &)
void	operator= (const Self &)

Private Attributes
unsigned long	m_TotalNumberOfRuns

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

Member Typedef Documentation

template<class THistogram >

typedef SmartPointer<const Self> itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::ConstPointer

Definition at line 73 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef DataObject::Pointer itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::DataObjectPointer

Smart Pointer type to a DataObject.

Definition at line 97 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef ProcessObject::DataObjectPointerArraySizeType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::DataObjectPointerArraySizeType

protected

Make a DataObject to be used for output output.

Definition at line 178 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramType:: TotalAbsoluteFrequencyType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::FrequencyType

Definition at line 88 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramType::ConstPointer itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramConstPointer

Definition at line 83 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramType::Pointer itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramPointer

Definition at line 82 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef THistogram itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramType

Definition at line 79 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramType::IndexType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::IndexType

Definition at line 86 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef SimpleDataObjectDecorator<MeasurementType> itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MeasurementObjectType

Type of DataObjects used for scalar outputs

Definition at line 100 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramType::MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MeasurementType

Definition at line 84 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramType::MeasurementVectorType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MeasurementVectorType

Definition at line 85 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef SmartPointer<Self> itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::Pointer

Definition at line 72 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef HistogramToRunLengthFeaturesFilter itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::Self

Standard typedefs

Definition at line 70 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

typedef ProcessObject itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::Superclass

Definition at line 71 of file itkHistogramToRunLengthFeaturesFilter.h.

Member Enumeration Documentation

template<class THistogram >

enum itk::Statistics::HistogramToRunLengthFeaturesFilter::RunLengthFeatureName

Run-length feature types

Enumerator
ShortRunEmphasis
LongRunEmphasis
GreyLevelNonuniformity
RunLengthNonuniformity
LowGreyLevelRunEmphasis
HighGreyLevelRunEmphasis
ShortRunLowGreyLevelEmphasis
ShortRunHighGreyLevelEmphasis
LongRunLowGreyLevelEmphasis
LongRunHighGreyLevelEmphasis

Definition at line 155 of file itkHistogramToRunLengthFeaturesFilter.h.

Constructor & Destructor Documentation

template<class THistogram >

itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramToRunLengthFeaturesFilter ( )

protected

template<class THistogram >

itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::~HistogramToRunLengthFeaturesFilter ( )

inlineprotected

Definition at line 174 of file itkHistogramToRunLengthFeaturesFilter.h.

template<class THistogram >

itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramToRunLengthFeaturesFilter ( const Self &  )

private

Member Function Documentation

template<class THistogram >

virtual::itk::LightObject::Pointer itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::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 THistogram >

void itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GenerateData ( void  )

protectedvirtual

This method causes the filter to generate its output.

Reimplemented from itk::ProcessObject.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetFeature

(

RunLengthFeatureName

name

)

convenience method to access the run length values

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformity

(

)

const

Methods to return the grey level nonuniformity.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformityOutput

(

)

const

Methods to return the grey level nonuniformity.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetHighGreyLevelRunEmphasis

(

)

const

Methods to return the high grey level run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetHighGreyLevelRunEmphasisOutput

(

)

const

Methods to return the high grey level run emphasis.

template<class THistogram >

const HistogramType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetInput

(

)

const

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunEmphasis

(

)

const

Methods to return the long run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunEmphasisOutput

(

)

const

Methods to return the long run emphasis.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunHighGreyLevelEmphasis

(

)

const

Methods to return the long run high grey level run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunHighGreyLevelEmphasisOutput

(

)

const

Methods to return the long run high grey level run emphasis.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunLowGreyLevelEmphasis

(

)

const

Methods to return the long run low grey level run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunLowGreyLevelEmphasisOutput

(

)

const

Methods to return the long run low grey level run emphasis.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLowGreyLevelRunEmphasis

(

)

const

Methods to return the low grey level run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLowGreyLevelRunEmphasisOutput

(

)

const

Methods to return the low grey level run emphasis.

template<class THistogram >

virtual const char* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformity

(

)

const

Methods to return the run length nonuniformity.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformityOutput

(

)

const

Methods to return the run length nonuniformity.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunEmphasis

(

)

const

Methods to return the short run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunEmphasisOutput

(

)

const

Methods to return the short run emphasis.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunHighGreyLevelEmphasis

(

)

const

Methods to return the short run high grey level run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunHighGreyLevelEmphasisOutput

(

)

const

Methods to return the short run high grey level run emphasis.

template<class THistogram >

MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunLowGreyLevelEmphasis

(

)

const

Methods to return the short run low grey level run emphasis.

template<class THistogram >

const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunLowGreyLevelEmphasisOutput

(

)

const

Methods to return the short run low grey level run emphasis.

template<class THistogram >

virtual unsigned long itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetTotalNumberOfRuns ( )

virtual

template<class THistogram >

virtual DataObjectPointer itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MakeOutput ( DataObjectPointerArraySizeType  idx )

protectedvirtual

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.

template<class THistogram >

static Pointer itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::New ( )

static

standard New() method support

template<class THistogram >

void itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::operator= ( const Self &  )

private

template<class THistogram >

void itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::PrintSelf ( std::ostream &  os, Indent  indent  ) const

protectedvirtual

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.

template<class THistogram >

void itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::SetInput

(

const HistogramType *

histogram

)

Member Data Documentation

template<class THistogram >

unsigned long itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::m_TotalNumberOfRuns

private

Definition at line 188 of file itkHistogramToRunLengthFeaturesFilter.h.

---

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

• itkHistogramToRunLengthFeaturesFilter.h