Medical Imaging Interaction Toolkit  2018.4.99-18ddd2ed
Medical Imaging Interaction Toolkit
itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram > Class Template Reference

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

#include <itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h>

Inheritance diagram for itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >:
Collaboration diagram for itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >:

Public Types

enum  NeighbourhoodGreyLevelDifferenceFeatureName {
  Coarseness, Contrast, Busyness, Complexity,
  Strength
}
 
typedef EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter Self
 
typedef ProcessObject Superclass
 
typedef SmartPointer< SelfPointer
 
typedef SmartPointer< const SelfConstPointer
 
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< MeasurementTypeMeasurementObjectType
 

Public Member Functions

virtual const char * GetClassName () const
 
void SetInput (const HistogramType *histogram)
 
const HistogramTypeGetInput () const
 
MeasurementType GetCoarseness () const
 
const MeasurementObjectTypeGetCoarsenessOutput () const
 
MeasurementType GetContrast () const
 
const MeasurementObjectTypeGetContrastOutput () const
 
MeasurementType GetBusyness () const
 
const MeasurementObjectTypeGetBusynessOutput () const
 
MeasurementType GetComplexity () const
 
const MeasurementObjectTypeGetComplexityOutput () const
 
MeasurementType GetStrength () const
 
const MeasurementObjectTypeGetStrengthOutput () const
 
virtual unsigned long GetTotalNumberOfValidVoxels ()
 
virtual unsigned long GetNumberOfVoxels () const
 
virtual void SetNumberOfVoxels (unsigned long _arg)
 
void SetSiMatrix (double *matrix)
 
MeasurementType GetFeature (NeighbourhoodGreyLevelDifferenceFeatureName name)
 

Static Public Member Functions

static Pointer New ()
 

Protected Types

typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType
 

Protected Member Functions

 EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter ()
 
 ~EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter () 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::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >

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

By default, Zone 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 Zone 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 Zone 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 Zone-length distributions. Pattern Recognition Letters, 12:490-502, 1991.

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

See also
ScalarImageToNeighbourhoodGreyLevelDifferenceFeaturesFilter
ScalarImageToNeighbourhoodGreyLevelDifferenceMatrixFilter
EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter
Author
: Nick Tustison

Definition at line 78 of file itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h.

Member Typedef Documentation

◆ ConstPointer

◆ DataObjectPointer

template<typename THistogram >
typedef DataObject::Pointer itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::DataObjectPointer

Smart Pointer type to a DataObject.

Definition at line 108 of file itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h.

◆ DataObjectPointerArraySizeType

template<typename THistogram >
typedef ProcessObject::DataObjectPointerArraySizeType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::DataObjectPointerArraySizeType
protected

Make a DataObject to be used for output output.

Definition at line 162 of file itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h.

◆ FrequencyType

template<typename THistogram >
typedef HistogramType:: TotalAbsoluteFrequencyType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::FrequencyType

◆ HistogramConstPointer

◆ HistogramPointer

◆ HistogramType

◆ IndexType

template<typename THistogram >
typedef HistogramType::IndexType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::IndexType

◆ MeasurementObjectType

template<typename THistogram >
typedef SimpleDataObjectDecorator<MeasurementType> itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::MeasurementObjectType

Type of DataObjects used for scalar outputs

Definition at line 111 of file itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h.

◆ MeasurementType

template<typename THistogram >
typedef HistogramType::MeasurementType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::MeasurementType

◆ MeasurementVectorType

template<typename THistogram >
typedef HistogramType::MeasurementVectorType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::MeasurementVectorType

◆ Pointer

◆ Self

◆ Superclass

Member Enumeration Documentation

◆ NeighbourhoodGreyLevelDifferenceFeatureName

Zone-length feature types

Enumerator
Coarseness 
Contrast 
Busyness 
Complexity 
Strength 

Definition at line 144 of file itkEnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter.h.

Constructor & Destructor Documentation

◆ EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter()

◆ ~EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter()

Member Function Documentation

◆ GenerateData()

template<typename THistogram >
void itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GenerateData ( )
protected

◆ GetBusyness()

template<typename THistogram >
MeasurementType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetBusyness ( ) const

Methods to return the grey level nonuniformity.

◆ GetBusynessOutput()

template<typename THistogram >
const MeasurementObjectType* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetBusynessOutput ( ) const

◆ GetClassName()

template<typename THistogram >
virtual const char* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetClassName ( ) const
virtual

Zone-time type information (and related methods).

◆ GetCoarseness()

template<typename THistogram >
MeasurementType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetCoarseness ( ) const

Methods to return the short Zone emphasis.

◆ GetCoarsenessOutput()

template<typename THistogram >
const MeasurementObjectType* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetCoarsenessOutput ( ) const

◆ GetComplexity()

template<typename THistogram >
MeasurementType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetComplexity ( ) const

Methods to return the Zone length nonuniformity.

◆ GetComplexityOutput()

template<typename THistogram >
const MeasurementObjectType* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetComplexityOutput ( ) const

◆ GetContrast()

template<typename THistogram >
MeasurementType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetContrast ( ) const

Methods to return the long Zone emphasis.

◆ GetContrastOutput()

template<typename THistogram >
const MeasurementObjectType* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetContrastOutput ( ) const

◆ GetFeature()

convenience method to access the Zone length values

◆ GetInput()

template<typename THistogram >
const HistogramType* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetInput ( ) const

◆ GetNumberOfVoxels()

template<typename THistogram >
virtual unsigned long itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetNumberOfVoxels ( ) const
virtual

◆ GetStrength()

template<typename THistogram >
MeasurementType itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetStrength ( ) const

Methods to return the low grey level Zone emphasis.

◆ GetStrengthOutput()

template<typename THistogram >
const MeasurementObjectType* itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetStrengthOutput ( ) const

◆ GetTotalNumberOfValidVoxels()

template<typename THistogram >
virtual unsigned long itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::GetTotalNumberOfValidVoxels ( )
virtual

◆ MakeOutput()

◆ New()

template<typename THistogram >
static Pointer itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::New ( )
static

standard New() method support

◆ PrintSelf()

◆ SetInput()

template<typename THistogram >
void itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::SetInput ( const HistogramType histogram)

◆ SetNumberOfVoxels()

template<typename THistogram >
virtual void itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::SetNumberOfVoxels ( unsigned long  _arg)
virtual

◆ SetSiMatrix()

template<typename THistogram >
void itk::Statistics::EnhancedHistogramToNeighbourhoodGreyLevelDifferenceFeaturesFilter< THistogram >::SetSiMatrix ( double *  matrix)
inline

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