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

This class computes texture feature coefficients from a grey level co-occurrence matrix. More...

#include <itkEnhancedHistogramToTextureFeaturesFilter.h>

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

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

Public Types
enum	TextureFeatureName {   Energy, Entropy, Correlation, InverseDifferenceMoment,   Inertia, ClusterShade, ClusterProminence, HaralickCorrelation,   Autocorrelation, Contrast, Dissimilarity, MaximumProbability,   InverseVariance, Homogeneity1, ClusterTendency, Variance,   SumAverage, SumEntropy, SumVariance, DifferenceAverage,   DifferenceEntropy, DifferenceVariance, InverseDifferenceMomentNormalized, InverseDifferenceNormalized,   InverseDifference, JointAverage, FirstMeasureOfInformationCorrelation, SecondMeasureOfInformationCorrelation,   InvalidFeatureName }
typedef EnhancedHistogramToTextureFeaturesFilter	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::AbsoluteFrequencyType	AbsoluteFrequencyType
typedef HistogramType::RelativeFrequencyType	RelativeFrequencyType
typedef HistogramType::TotalAbsoluteFrequencyType	TotalAbsoluteFrequencyType
typedef HistogramType::TotalRelativeFrequencyType	TotalRelativeFrequencyType
typedef std::vector< RelativeFrequencyType >	RelativeFrequencyContainerType
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	GetEnergy () const
const MeasurementObjectType *	GetEnergyOutput () const
MeasurementType	GetEntropy () const
const MeasurementObjectType *	GetEntropyOutput () const
MeasurementType	GetCorrelation () const
const MeasurementObjectType *	GetCorrelationOutput () const
MeasurementType	GetInverseDifferenceMoment () const
const MeasurementObjectType *	GetInverseDifferenceMomentOutput () const
MeasurementType	GetInertia () const
const MeasurementObjectType *	GetInertiaOutput () const
MeasurementType	GetClusterShade () const
const MeasurementObjectType *	GetClusterShadeOutput () const
MeasurementType	GetClusterProminence () const
const MeasurementObjectType *	GetClusterProminenceOutput () const
MeasurementType	GetHaralickCorrelation () const
const MeasurementObjectType *	GetHaralickCorrelationOutput () const
const MeasurementObjectType *	GetAutocorrelationOutput () const
MeasurementType	GetAutocorrelation () const
const MeasurementObjectType *	GetContrastOutput () const
MeasurementType	GetContrast () const
const MeasurementObjectType *	GetDissimilarityOutput () const
MeasurementType	GetDissimilarity () const
const MeasurementObjectType *	GetMaximumProbabilityOutput () const
MeasurementType	GetMaximumProbability () const
const MeasurementObjectType *	GetInverseVarianceOutput () const
MeasurementType	GetInverseVariance () const
const MeasurementObjectType *	GetHomogeneity1Output () const
MeasurementType	GetHomogeneity1 () const
const MeasurementObjectType *	GetClusterTendencyOutput () const
MeasurementType	GetClusterTendency () const
const MeasurementObjectType *	GetVarianceOutput () const
MeasurementType	GetVariance () const
const MeasurementObjectType *	GetSumAverageOutput () const
MeasurementType	GetSumAverage () const
const MeasurementObjectType *	GetSumEntropyOutput () const
MeasurementType	GetSumEntropy () const
const MeasurementObjectType *	GetSumVarianceOutput () const
MeasurementType	GetSumVariance () const
const MeasurementObjectType *	GetDifferenceAverageOutput () const
MeasurementType	GetDifferenceAverage () const
const MeasurementObjectType *	GetDifferenceEntropyOutput () const
MeasurementType	GetDifferenceEntropy () const
const MeasurementObjectType *	GetDifferenceVarianceOutput () const
MeasurementType	GetDifferenceVariance () const
const MeasurementObjectType *	GetInverseDifferenceMomentNormalizedOutput () const
MeasurementType	GetInverseDifferenceMomentNormalized () const
const MeasurementObjectType *	GetInverseDifferenceNormalizedOutput () const
MeasurementType	GetInverseDifferenceNormalized () const
const MeasurementObjectType *	GetInverseDifferenceOutput () const
MeasurementType	GetInverseDifference () const
const MeasurementObjectType *	GetJointAverageOutput () const
MeasurementType	GetJointAverage () const
const MeasurementObjectType *	GetFirstMeasureOfInformationCorrelationOutput () const
MeasurementType	GetFirstMeasureOfInformationCorrelation () const
const MeasurementObjectType *	GetSecondMeasureOfInformationCorrelationOutput () const
MeasurementType	GetSecondMeasureOfInformationCorrelation () const
MeasurementType	GetFeature (TextureFeatureName name)

Static Public Member Functions
static Pointer	New ()

Protected Types
typedef ProcessObject::DataObjectPointerArraySizeType	DataObjectPointerArraySizeType

Protected Member Functions
	EnhancedHistogramToTextureFeaturesFilter ()
	~EnhancedHistogramToTextureFeaturesFilter () 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::EnhancedHistogramToTextureFeaturesFilter< THistogram >

This class computes texture feature coefficients from a grey level co-occurrence matrix.

This class computes features that summarize image texture, given a grey level co-occurrence matrix (generated by a ScalarImageToCooccurrenceMatrixFilter or related class).

The features calculated are as follows (where \( g(i, j) \) is the element in cell i, j of a a normalized GLCM):

"Energy" \( = f_1 = \sum_{i,j}g(i, j)^2 \)

"Entropy" \( = f_2 = -\sum_{i,j}g(i, j) \log_2 g(i, j)\), or 0 if \(g(i, j) = 0\)

"Correlation" \( = f_3 = \sum_{i,j}\frac{(i - \mu)(j - \mu)g(i, j)}{\sigma^2} \)

"Difference Moment" \(= f_4 = \sum_{i,j}\frac{1}{1 + (i - j)^2}g(i, j) \)

"Inertia" \( = f_5 = \sum_{i,j}(i - j)^2g(i, j) \) (sometimes called "contrast.")

"Cluster Shade" \( = f_6 = \sum_{i,j}((i - \mu) + (j - \mu))^3 g(i, j) \)

"Cluster Prominence" \( = f_7 = \sum_{i,j}((i - \mu) + (j - \mu))^4 g(i, j) \)

"Haralick's Correlation" \( = f_8 = \frac{\sum_{i,j}(i, j) g(i, j) -\mu_t^2}{\sigma_t^2} \) where \(\mu_t\) and \(\sigma_t\) are the mean and standard deviation of the row (or column, due to symmetry) sums.

Above, \( \mu = \) (weighted pixel average) \( = \sum_{i,j}i \cdot g(i, j) = \sum_{i,j}j \cdot g(i, j) \) (due to matrix summetry), and

\( \sigma = \) (weighted pixel variance) \( = \sum_{i,j}(i - \mu)^2 \cdot g(i, j) = \sum_{i,j}(j - \mu)^2 \cdot g(i, j) \) (due to matrix summetry)

A good texture feature set to use is the Conners, Trivedi and Harlow set: features 1, 2, 4, 5, 6, and 7. There is some correlation between the various features, so using all of them at the same time is not necessarialy a good idea.

NOTA BENE: The input histogram will be forcably normalized! This algorithm takes three passes through the input histogram if the histogram was already normalized, and four if not.

Print references:

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.

Haralick, R.M. 1979. Statistical and Structural Approaches to Texture. Proceedings of the IEEE, 67:786-804.

R.W. Conners and C.A. Harlow. A Theoretical Comparison of Texture Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2:204-222, 1980.

R.W. Conners, M.M. Trivedi, and C.A. Harlow. Segmentation of a High-Resolution Urban Scene using Texture Operators. Computer Vision, Graphics and Image Processing, 25:273-310, 1984.

See also

ScalarImageToCooccurrenceMatrixFilter

ScalarImageToTextureFeaturesFilter

Author: Zachary Pincus

Definition at line 103 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Member Typedef Documentation

AbsoluteFrequencyType

template<typename THistogram >

typedef HistogramType::AbsoluteFrequencyType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::AbsoluteFrequencyType

Definition at line 124 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

ConstPointer

template<typename THistogram >

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

Definition at line 110 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

DataObjectPointer

template<typename THistogram >

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

Smart Pointer type to a DataObject.

Definition at line 143 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

DataObjectPointerArraySizeType

template<typename THistogram >

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

protected

Make a DataObject to be used for output output.

Definition at line 251 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

HistogramConstPointer

template<typename THistogram >

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

Definition at line 120 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

HistogramPointer

template<typename THistogram >

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

Definition at line 119 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

HistogramType

template<typename THistogram >

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

Definition at line 116 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

IndexType

template<typename THistogram >

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

Definition at line 123 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

MeasurementObjectType

template<typename THistogram >

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

Type of DataObjects used for scalar outputs

Definition at line 146 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

MeasurementType

template<typename THistogram >

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

Definition at line 121 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

MeasurementVectorType

template<typename THistogram >

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

Definition at line 122 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Pointer

template<typename THistogram >

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

Definition at line 109 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

RelativeFrequencyContainerType

template<typename THistogram >

typedef std::vector< RelativeFrequencyType > itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::RelativeFrequencyContainerType

Container to hold relative frequencies of the histogram

Definition at line 134 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

RelativeFrequencyType

template<typename THistogram >

typedef HistogramType::RelativeFrequencyType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::RelativeFrequencyType

Definition at line 125 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Self

template<typename THistogram >

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

Standard typedefs

Definition at line 107 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Superclass

template<typename THistogram >

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

Definition at line 108 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

TotalAbsoluteFrequencyType

template<typename THistogram >

typedef HistogramType::TotalAbsoluteFrequencyType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::TotalAbsoluteFrequencyType

Definition at line 128 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

TotalRelativeFrequencyType

template<typename THistogram >

typedef HistogramType::TotalRelativeFrequencyType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::TotalRelativeFrequencyType

Definition at line 131 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Member Enumeration Documentation

TextureFeatureName

template<typename THistogram >

enum itk::Statistics::EnhancedHistogramToTextureFeaturesFilter::TextureFeatureName

Texture feature types

Enumerator
Energy
Entropy
Correlation
InverseDifferenceMoment
Inertia
ClusterShade
ClusterProminence
HaralickCorrelation
Autocorrelation
Contrast
Dissimilarity
MaximumProbability
InverseVariance
Homogeneity1
ClusterTendency
Variance
SumAverage
SumEntropy
SumVariance
DifferenceAverage
DifferenceEntropy
DifferenceVariance
InverseDifferenceMomentNormalized
InverseDifferenceNormalized
InverseDifference
JointAverage
FirstMeasureOfInformationCorrelation
SecondMeasureOfInformationCorrelation
InvalidFeatureName

Definition at line 210 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Constructor & Destructor Documentation

EnhancedHistogramToTextureFeaturesFilter()

template<typename THistogram >

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

protected

~EnhancedHistogramToTextureFeaturesFilter()

template<typename THistogram >

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

inlineoverrideprotected

Definition at line 247 of file itkEnhancedHistogramToTextureFeaturesFilter.h.

Member Function Documentation

GenerateData()

template<typename THistogram >

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

protected

GetAutocorrelation()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetAutocorrelation

(

)

const

GetAutocorrelationOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetAutocorrelationOutput

(

)

const

GetClassName()

template<typename THistogram >

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

virtual

Run-time type information (and related methods).

GetClusterProminence()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetClusterProminence

(

)

const

Return cluster prominence texture value.

GetClusterProminenceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetClusterProminenceOutput

(

)

const

GetClusterShade()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetClusterShade

(

)

const

Return cluster shade texture value.

GetClusterShadeOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetClusterShadeOutput

(

)

const

GetClusterTendency()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetClusterTendency

(

)

const

GetClusterTendencyOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetClusterTendencyOutput

(

)

const

GetContrast()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetContrast

(

)

const

GetContrastOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetContrastOutput

(

)

const

GetCorrelation()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetCorrelation

(

)

const

return correlation texture value.

GetCorrelationOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetCorrelationOutput

(

)

const

GetDifferenceAverage()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDifferenceAverage

(

)

const

GetDifferenceAverageOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDifferenceAverageOutput

(

)

const

GetDifferenceEntropy()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDifferenceEntropy

(

)

const

GetDifferenceEntropyOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDifferenceEntropyOutput

(

)

const

GetDifferenceVariance()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDifferenceVariance

(

)

const

GetDifferenceVarianceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDifferenceVarianceOutput

(

)

const

GetDissimilarity()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDissimilarity

(

)

const

GetDissimilarityOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetDissimilarityOutput

(

)

const

GetEnergy()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetEnergy

(

)

const

Return energy texture value.

GetEnergyOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetEnergyOutput

(

)

const

GetEntropy()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetEntropy

(

)

const

Return entropy texture value.

GetEntropyOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetEntropyOutput

(

)

const

GetFeature()

template<typename THistogram >

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

(

TextureFeatureName

name

)

convenience method to access the texture values

GetFirstMeasureOfInformationCorrelation()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetFirstMeasureOfInformationCorrelation

(

)

const

GetFirstMeasureOfInformationCorrelationOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetFirstMeasureOfInformationCorrelationOutput

(

)

const

GetHaralickCorrelation()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetHaralickCorrelation

(

)

const

Return Haralick correlation texture value.

GetHaralickCorrelationOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetHaralickCorrelationOutput

(

)

const

GetHomogeneity1()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetHomogeneity1

(

)

const

GetHomogeneity1Output()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetHomogeneity1Output

(

)

const

GetInertia()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInertia

(

)

const

Return inertia texture value.

GetInertiaOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInertiaOutput

(

)

const

GetInput()

template<typename THistogram >

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

(

)

const

GetInverseDifference()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifference

(

)

const

GetInverseDifferenceMoment()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMoment

(

)

const

Return inverse difference moment texture value.

GetInverseDifferenceMomentNormalized()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMomentNormalized

(

)

const

GetInverseDifferenceMomentNormalizedOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMomentNormalizedOutput

(

)

const

GetInverseDifferenceMomentOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMomentOutput

(

)

const

GetInverseDifferenceNormalized()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceNormalized

(

)

const

GetInverseDifferenceNormalizedOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceNormalizedOutput

(

)

const

GetInverseDifferenceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceOutput

(

)

const

GetInverseVariance()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseVariance

(

)

const

GetInverseVarianceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetInverseVarianceOutput

(

)

const

GetJointAverage()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetJointAverage

(

)

const

GetJointAverageOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetJointAverageOutput

(

)

const

GetMaximumProbability()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetMaximumProbability

(

)

const

GetMaximumProbabilityOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetMaximumProbabilityOutput

(

)

const

GetSecondMeasureOfInformationCorrelation()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSecondMeasureOfInformationCorrelation

(

)

const

GetSecondMeasureOfInformationCorrelationOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSecondMeasureOfInformationCorrelationOutput

(

)

const

GetSumAverage()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSumAverage

(

)

const

GetSumAverageOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSumAverageOutput

(

)

const

GetSumEntropy()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSumEntropy

(

)

const

GetSumEntropyOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSumEntropyOutput

(

)

const

GetSumVariance()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSumVariance

(

)

const

GetSumVarianceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetSumVarianceOutput

(

)

const

GetVariance()

template<typename THistogram >

MeasurementType itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetVariance

(

)

const

GetVarianceOutput()

template<typename THistogram >

const MeasurementObjectType* itk::Statistics::EnhancedHistogramToTextureFeaturesFilter< THistogram >::GetVarianceOutput

(

)

const

MakeOutput()

template<typename THistogram >

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

protected

New()

template<typename THistogram >

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

static

standard New() method support

PrintSelf()

template<typename THistogram >

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

protected

SetInput()

template<typename THistogram >

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

(

const HistogramType *

histogram

)

---

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

• itkEnhancedHistogramToTextureFeaturesFilter.h