ITK  4.4.0
Insight Segmentation and Registration Toolkit
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itk::Statistics::HistogramToTextureFeaturesFilter< THistogram > Class Template Reference
Module ITKStatistics

#include <itkHistogramToTextureFeaturesFilter.h>

+ Inheritance diagram for itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >:
+ Collaboration diagram for itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >:

Detailed Description

template<class THistogram>
class itk::Statistics::HistogramToTextureFeaturesFilter< 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 ScalarImageToGreyLevelCooccurrenceMatrixGenerator 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.

Web references:

http://www.cssip.uq.edu.au/meastex/www/algs/algs/algs.html http://www.ucalgary.ca/~mhallbey/texture/texture_tutorial.html

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 Comaprison 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
ScalarImageToGreyLevelCooccurrenceMatrixGenerator
MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
ScalarImageTextureCalculator

Author: Zachary Pincus

Definition at line 103 of file itkHistogramToTextureFeaturesFilter.h.

Public Types

typedef
HistogramType::AbsoluteFrequencyType 		AbsoluteFrequencyType
 
typedef SmartPointer< const Self > ConstPointer
 
typedef DataObject::Pointer DataObjectPointer
 
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
 
typedef std::vector
< RelativeFrequencyType > 		RelativeFrequencyContainerType
 
typedef
HistogramType::RelativeFrequencyType 		RelativeFrequencyType
 
typedef
HistogramToTextureFeaturesFilter 		Self
 
typedef ProcessObject Superclass
 
enum  TextureFeatureName {
  Energy,
  Entropy,
  Correlation,
  InverseDifferenceMoment,
  Inertia,
  ClusterShade,
  ClusterProminence,
  HaralickCorrelation,
  InvalidFeatureName
}
 
typedef
HistogramType::TotalAbsoluteFrequencyType 		TotalAbsoluteFrequencyType
 
typedef
HistogramType::TotalRelativeFrequencyType 		TotalRelativeFrequencyType
 
- 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 GetClusterProminence () const
 
const MeasurementObjectType * GetClusterProminenceOutput () const
 
MeasurementType GetClusterShade () const
 
const MeasurementObjectType * GetClusterShadeOutput () const
 
MeasurementType GetCorrelation () const
 
const MeasurementObjectType * GetCorrelationOutput () const
 
MeasurementType GetEnergy () const
 
const MeasurementObjectType * GetEnergyOutput () const
 
MeasurementType GetEntropy () const
 
const MeasurementObjectType * GetEntropyOutput () const
 
MeasurementType GetFeature (TextureFeatureName name)
 
MeasurementType GetHaralickCorrelation () const
 
const MeasurementObjectType * GetHaralickCorrelationOutput () const
 
MeasurementType GetInertia () const
 
const MeasurementObjectType * GetInertiaOutput () const
 
const HistogramType * GetInput () const
 
MeasurementType GetInverseDifferenceMoment () const
 
const MeasurementObjectType * GetInverseDifferenceMomentOutput () const
 
virtual const char * GetNameOfClass () const
 
void SetInput (const HistogramType *histogram)
 
- 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 ()
 
 HistogramToTextureFeaturesFilter ()
 
virtual DataObjectPointer MakeOutput (DataObjectPointerArraySizeType)
 
void PrintSelf (std::ostream &os, Indent indent) const
 
 ~HistogramToTextureFeaturesFilter ()
 
- 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

void ComputeMeansAndVariances (double &pixelMean, double &marginalMean, double &marginalDevSquared, double &pixelVariance)
 
 HistogramToTextureFeaturesFilter (const Self &)
 
void operator= (const Self &)
 

Private Attributes

RelativeFrequencyContainerType m_RelativeFrequencyContainer
 

Additional Inherited Members

- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime
 
bool m_Updating
 

Member Typedef Documentation

template<class THistogram >
typedef HistogramType::AbsoluteFrequencyType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::AbsoluteFrequencyType

Definition at line 124 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef SmartPointer< const Self > itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::ConstPointer

Definition at line 110 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef DataObject::Pointer itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::DataObjectPointer

Smart Pointer type to a DataObject.

Definition at line 143 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef ProcessObject::DataObjectPointerArraySizeType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::DataObjectPointerArraySizeType
protected

Make a DataObject to be used for output output.

Definition at line 210 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::ConstPointer itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramConstPointer

Definition at line 120 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::Pointer itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramPointer

Definition at line 119 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef THistogram itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramType

Definition at line 116 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::IndexType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::IndexType

Definition at line 123 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef SimpleDataObjectDecorator< MeasurementType > itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::MeasurementObjectType

Type of DataObjects used for scalar outputs

Definition at line 146 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::MeasurementType

Definition at line 121 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::MeasurementVectorType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::MeasurementVectorType

Definition at line 122 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef SmartPointer< Self > itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::Pointer

Definition at line 109 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef std::vector< RelativeFrequencyType > itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::RelativeFrequencyContainerType

Container to hold relative frequencies of the histogram

Definition at line 134 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::RelativeFrequencyType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::RelativeFrequencyType

Definition at line 125 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramToTextureFeaturesFilter itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::Self

Standard typedefs

Definition at line 107 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef ProcessObject itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::Superclass

Definition at line 108 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::TotalAbsoluteFrequencyType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::TotalAbsoluteFrequencyType

Definition at line 128 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
typedef HistogramType::TotalRelativeFrequencyType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::TotalRelativeFrequencyType

Definition at line 131 of file itkHistogramToTextureFeaturesFilter.h.

Member Enumeration Documentation

template<class THistogram >
enum itk::Statistics::HistogramToTextureFeaturesFilter::TextureFeatureName

Texture feature types

Enumerator
Energy 
Entropy 
Correlation 
InverseDifferenceMoment 
Inertia 
ClusterShade 
ClusterProminence 
HaralickCorrelation 
InvalidFeatureName 

Definition at line 189 of file itkHistogramToTextureFeaturesFilter.h.

Constructor & Destructor Documentation

template<class THistogram >
itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramToTextureFeaturesFilter ( )
protected
template<class THistogram >
itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::~HistogramToTextureFeaturesFilter ( )
inlineprotected

Definition at line 206 of file itkHistogramToTextureFeaturesFilter.h.

template<class THistogram >
itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::HistogramToTextureFeaturesFilter ( const Self &  )
private

Member Function Documentation

template<class THistogram >
void itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::ComputeMeansAndVariances ( double &  pixelMean,
double &  marginalMean,
double &  marginalDevSquared,
double &  pixelVariance 
)
private
template<class THistogram >
virtual::itk::LightObject::Pointer itk::Statistics::HistogramToTextureFeaturesFilter< 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::HistogramToTextureFeaturesFilter< THistogram >::GenerateData ( void  )
protectedvirtual

This method causes the filter to generate its output.

Reimplemented from itk::ProcessObject.

template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetClusterProminence ( ) const

Return cluster prominence texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetClusterProminenceOutput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetClusterShade ( ) const

Return cluster shade texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetClusterShadeOutput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetCorrelation ( ) const

return correlation texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetCorrelationOutput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetEnergy ( ) const

Return energy texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetEnergyOutput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetEntropy ( ) const

Return entropy texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetEntropyOutput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetFeature ( TextureFeatureName  name)

convenience method to access the texture values

template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetHaralickCorrelation ( ) const

Return Haralick correlation texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetHaralickCorrelationOutput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInertia ( ) const

Return inertia texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInertiaOutput ( ) const
template<class THistogram >
const HistogramType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInput ( ) const
template<class THistogram >
MeasurementType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMoment ( ) const

Return inverse difference moment texture value.

template<class THistogram >
const MeasurementObjectType* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetInverseDifferenceMomentOutput ( ) const
template<class THistogram >
virtual const char* itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

template<class THistogram >
virtual DataObjectPointer itk::Statistics::HistogramToTextureFeaturesFilter< 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::HistogramToTextureFeaturesFilter< THistogram >::New ( )
static

standard New() method support

template<class THistogram >
void itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::operator= ( const Self &  )
private
template<class THistogram >
void itk::Statistics::HistogramToTextureFeaturesFilter< 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::HistogramToTextureFeaturesFilter< THistogram >::SetInput ( const HistogramType *  histogram)

Member Data Documentation

template<class THistogram >
RelativeFrequencyContainerType itk::Statistics::HistogramToTextureFeaturesFilter< THistogram >::m_RelativeFrequencyContainer
private

Definition at line 223 of file itkHistogramToTextureFeaturesFilter.h.

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