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

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

#include <itkEnhancedHistogramToRunLengthFeaturesFilter.h>

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

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

Public Types
enum	RunLengthFeatureName {   ShortRunEmphasis, LongRunEmphasis, GreyLevelNonuniformity, GreyLevelNonuniformityNormalized,   RunLengthNonuniformity, RunLengthNonuniformityNormalized, LowGreyLevelRunEmphasis, HighGreyLevelRunEmphasis,   ShortRunLowGreyLevelEmphasis, ShortRunHighGreyLevelEmphasis, LongRunLowGreyLevelEmphasis, LongRunHighGreyLevelEmphasis,   RunPercentage, NumberOfRuns, GreyLevelVariance, RunLengthVariance,   RunEntropy }
typedef EnhancedHistogramToRunLengthFeaturesFilter	Self
typedef ProcessObject	Superclass
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< const Self >	ConstPointer
typedef THistogram	HistogramType
typedef HistogramType::Pointer	HistogramPointer
typedef HistogramType::ConstPointer	HistogramConstPointer
typedef HistogramType::MeasurementType	MeasurementType
typedef HistogramType::MeasurementVectorType	MeasurementVectorType
typedef HistogramType::IndexType	IndexType
typedef HistogramType::TotalAbsoluteFrequencyType	FrequencyType
typedef DataObject::Pointer	DataObjectPointer
typedef SimpleDataObjectDecorator< MeasurementType >	MeasurementObjectType

Public Member Functions
virtual const char *	GetClassName () const
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	GetGreyLevelNonuniformityNormalized () const
const MeasurementObjectType *	GetGreyLevelNonuniformityNormalizedOutput () const
MeasurementType	GetRunLengthNonuniformity () const
const MeasurementObjectType *	GetRunLengthNonuniformityOutput () const
MeasurementType	GetRunLengthNonuniformityNormalized () const
const MeasurementObjectType *	GetRunLengthNonuniformityNormalizedOutput () 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
MeasurementType	GetRunPercentage () const
const MeasurementObjectType *	GetRunPercentageOutput () const
MeasurementType	GetNumberOfRuns () const
const MeasurementObjectType *	GetNumberOfRunsOutput () const
MeasurementType	GetGreyLevelVariance () const
const MeasurementObjectType *	GetGreyLevelVarianceOutput () const
MeasurementType	GetRunLengthVariance () const
const MeasurementObjectType *	GetRunLengthVarianceOutput () const
MeasurementType	GetRunEntropy () const
const MeasurementObjectType *	GetRunEntropyOutput () const
virtual unsigned long	GetTotalNumberOfRuns ()
virtual unsigned long	GetNumberOfVoxels () const
virtual void	SetNumberOfVoxels (unsigned long _arg)
MeasurementType	GetFeature (RunLengthFeatureName name)

Static Public Member Functions
static Pointer	New ()

Protected Types
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType

Protected Member Functions
	EnhancedHistogramToRunLengthFeaturesFilter ()
	~EnhancedHistogramToRunLengthFeaturesFilter () override
void	PrintSelf (std::ostream &os, Indent indent) const ITK_OVERRIDE
DataObjectPointer	MakeOutput (DataObjectPointerArraySizeType) ITK_OVERRIDE
void	GenerateData () ITK_OVERRIDE

Detailed Description

template<typename THistogram>
class itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< 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: https://hdl.handle.net/1926/1374

See also

ScalarImageToRunLengthFeaturesFilter

ScalarImageToRunLengthMatrixFilter

EnhancedHistogramToRunLengthFeaturesFilter

Author

: Nick Tustison

Definition at line 78 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Member Typedef Documentation

ConstPointer

template<typename THistogram >

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

Definition at line 85 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

DataObjectPointer

template<typename THistogram >

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

Smart Pointer type to a DataObject.

Definition at line 108 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

DataObjectPointerArraySizeType

template<typename THistogram >

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

protected

Make a DataObject to be used for output output.

Definition at line 217 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

FrequencyType

template<typename THistogram >

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

Definition at line 100 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

HistogramConstPointer

template<typename THistogram >

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

Definition at line 95 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

HistogramPointer

template<typename THistogram >

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

Definition at line 94 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

HistogramType

template<typename THistogram >

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

Definition at line 91 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

IndexType

template<typename THistogram >

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

Definition at line 98 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

MeasurementObjectType

template<typename THistogram >

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

Type of DataObjects used for scalar outputs

Definition at line 111 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

MeasurementType

template<typename THistogram >

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

Definition at line 96 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

MeasurementVectorType

template<typename THistogram >

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

Definition at line 97 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Pointer

template<typename THistogram >

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

Definition at line 84 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Self

template<typename THistogram >

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

Standard typedefs

Definition at line 82 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Superclass

template<typename THistogram >

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

Definition at line 83 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Member Enumeration Documentation

RunLengthFeatureName

template<typename THistogram >

enum itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter::RunLengthFeatureName

Run-length feature types

Enumerator
ShortRunEmphasis
LongRunEmphasis
GreyLevelNonuniformity
GreyLevelNonuniformityNormalized
RunLengthNonuniformity
RunLengthNonuniformityNormalized
LowGreyLevelRunEmphasis
HighGreyLevelRunEmphasis
ShortRunLowGreyLevelEmphasis
ShortRunHighGreyLevelEmphasis
LongRunLowGreyLevelEmphasis
LongRunHighGreyLevelEmphasis
RunPercentage
NumberOfRuns
GreyLevelVariance
RunLengthVariance
RunEntropy

Definition at line 187 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Constructor & Destructor Documentation

EnhancedHistogramToRunLengthFeaturesFilter()

template<typename THistogram >

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

protected

~EnhancedHistogramToRunLengthFeaturesFilter()

template<typename THistogram >

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

inlineoverrideprotected

Definition at line 213 of file itkEnhancedHistogramToRunLengthFeaturesFilter.h.

Member Function Documentation

GenerateData()

template<typename THistogram >

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

protected

GetClassName()

template<typename THistogram >

virtual const char* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetClassName ( ) const

virtual

Run-time type information (and related methods).

GetFeature()

template<typename THistogram >

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

(

RunLengthFeatureName

name

)

convenience method to access the run length values

GetGreyLevelNonuniformity()

template<typename THistogram >

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

(

)

const

Methods to return the grey level nonuniformity.

GetGreyLevelNonuniformityNormalized()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformityNormalized

(

)

const

Methods to return the grey level nonuniformity.

GetGreyLevelNonuniformityNormalizedOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformityNormalizedOutput

(

)

const

GetGreyLevelNonuniformityOutput()

template<typename THistogram >

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

(

)

const

GetGreyLevelVariance()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelVariance

(

)

const

Methods to return the grey level variance.

GetGreyLevelVarianceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelVarianceOutput

(

)

const

GetHighGreyLevelRunEmphasis()

template<typename THistogram >

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

(

)

const

Methods to return the high grey level run emphasis.

GetHighGreyLevelRunEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetInput()

template<typename THistogram >

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

(

)

const

GetLongRunEmphasis()

template<typename THistogram >

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

(

)

const

Methods to return the long run emphasis.

GetLongRunEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetLongRunHighGreyLevelEmphasis()

template<typename THistogram >

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

(

)

const

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

GetLongRunHighGreyLevelEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetLongRunLowGreyLevelEmphasis()

template<typename THistogram >

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

(

)

const

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

GetLongRunLowGreyLevelEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetLowGreyLevelRunEmphasis()

template<typename THistogram >

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

(

)

const

Methods to return the low grey level run emphasis.

GetLowGreyLevelRunEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetNumberOfRuns()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetNumberOfRuns

(

)

const

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

GetNumberOfRunsOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetNumberOfRunsOutput

(

)

const

GetNumberOfVoxels()

template<typename THistogram >

virtual unsigned long itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetNumberOfVoxels ( ) const

virtual

GetRunEntropy()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunEntropy

(

)

const

Methods to return the run entropy.

GetRunEntropyOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunEntropyOutput

(

)

const

GetRunLengthNonuniformity()

template<typename THistogram >

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

(

)

const

Methods to return the run length nonuniformity.

GetRunLengthNonuniformityNormalized()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformityNormalized

(

)

const

Methods to return the run length nonuniformity.

GetRunLengthNonuniformityNormalizedOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformityNormalizedOutput

(

)

const

GetRunLengthNonuniformityOutput()

template<typename THistogram >

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

(

)

const

GetRunLengthVariance()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthVariance

(

)

const

Methods to return the run length variance.

GetRunLengthVarianceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthVarianceOutput

(

)

const

GetRunPercentage()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunPercentage

(

)

const

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

GetRunPercentageOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::GetRunPercentageOutput

(

)

const

GetShortRunEmphasis()

template<typename THistogram >

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

(

)

const

Methods to return the short run emphasis.

GetShortRunEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetShortRunHighGreyLevelEmphasis()

template<typename THistogram >

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

(

)

const

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

GetShortRunHighGreyLevelEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetShortRunLowGreyLevelEmphasis()

template<typename THistogram >

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

(

)

const

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

GetShortRunLowGreyLevelEmphasisOutput()

template<typename THistogram >

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

(

)

const

GetTotalNumberOfRuns()

template<typename THistogram >

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

virtual

MakeOutput()

template<typename THistogram >

DataObjectPointer itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::MakeOutput ( DataObjectPointerArraySizeType  )

protected

New()

template<typename THistogram >

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

static

standard New() method support

PrintSelf()

template<typename THistogram >

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

protected

SetInput()

template<typename THistogram >

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

(

const HistogramType *

histogram

)

SetNumberOfVoxels()

template<typename THistogram >

virtual void itk::Statistics::EnhancedHistogramToRunLengthFeaturesFilter< THistogram >::SetNumberOfVoxels ( unsigned long  _arg )

virtual

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

• itkEnhancedHistogramToRunLengthFeaturesFilter.h