ITK  4.1.0
Insight Segmentation and Registration Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Types | Protected Member Functions | Private Member Functions | Private Attributes
itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer > Class Template Reference

#include <itkScalarImageToCooccurrenceMatrixFilter.h>

+ Inheritance diagram for itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >:
+ Collaboration diagram for itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >:

List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef HistogramType::ConstPointer HistogramConstPointer
typedef HistogramType::Pointer HistogramPointer
typedef Histogram
< MeasurementType,
THistogramFrequencyContainer > 
HistogramType
typedef ImageType::ConstPointer ImageConstPointer
typedef ImageType::Pointer ImagePointer
typedef TImageType ImageType
typedef NumericTraits
< PixelType >::RealType 
MeasurementType
typedef
HistogramType::MeasurementVectorType 
MeasurementVectorType
typedef ImageType::OffsetType OffsetType
typedef VectorContainer
< unsigned char, OffsetType
OffsetVector
typedef OffsetVector::ConstPointer OffsetVectorConstPointer
typedef OffsetVector::Pointer OffsetVectorPointer
typedef ImageType::PixelType PixelType
typedef SmartPointer< SelfPointer
typedef ImageType::SizeType RadiusType
typedef ImageType::RegionType RegionType
typedef
ScalarImageToCooccurrenceMatrixFilter 
Self
typedef ProcessObject Superclass

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother (void) const
const ImageTypeGetInput () const
const ImageTypeGetMaskImage () const
virtual PixelType GetMax () const
virtual PixelType GetMin () const
virtual const char * GetNameOfClass () const
const HistogramTypeGetOutput () const
void SetInput (const ImageType *image)
void SetMaskImage (const ImageType *image)
void SetPixelValueMinMax (PixelType min, PixelType max)
virtual void SetOffsets (const OffsetVector *_arg)
virtual const OffsetVectorGetOffsets ()
void SetOffset (const OffsetType offset)
virtual void SetNumberOfBinsPerAxis (unsigned int _arg)
virtual unsigned int GetNumberOfBinsPerAxis () const
virtual void SetNormalize (bool _arg)
virtual bool GetNormalize () const
virtual void NormalizeOn ()
virtual void NormalizeOff ()

Static Public Member Functions

static Pointer New ()

Static Public Attributes

static const unsigned int DefaultBinsPerAxis = 256

Protected Types

typedef DataObject::Pointer DataObjectPointer
typedef
ProcessObject::DataObjectPointerArraySizeType 
DataObjectPointerArraySizeType

Protected Member Functions

virtual void FillHistogram (RadiusType radius, RegionType region)
virtual void FillHistogramWithMask (RadiusType radius, RegionType region, const ImageType *maskImage)
virtual void GenerateData ()
virtual DataObjectPointer MakeOutput (DataObjectPointerArraySizeType idx)

Private Member Functions

void NormalizeHistogram (void)
void operator= (const Self &)
 ScalarImageToCooccurrenceMatrixFilter (const Self &)

Private Attributes

PixelType m_InsidePixelValue
MeasurementVectorType m_LowerBound
PixelType m_Max
PixelType m_Min
bool m_Normalize
unsigned int m_NumberOfBinsPerAxis
OffsetVectorConstPointer m_Offsets
MeasurementVectorType m_UpperBound
virtual void SetInsidePixelValue (PixelType _arg)
virtual PixelType GetInsidePixelValue () const
 ScalarImageToCooccurrenceMatrixFilter ()
virtual ~ScalarImageToCooccurrenceMatrixFilter ()
void PrintSelf (std::ostream &os, Indent indent) const

Detailed Description

template<class TImageType, class THistogramFrequencyContainer = DenseFrequencyContainer2>
class itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >

This class computes a co-occurence matrix (histogram) from a given image and a mask image if provided. Coocurrence matrces are used for image texture description.

This filters creates a grey-level co-occurence matrix from a N-D scalar image. This is the first step in texture description a la Haralick. (See 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. See also Haralick, R.M. 1979. Statistical and Structural Approaches to Texture. Proceedings of the IEEE, 67:786-804.)

The basic idea is as follows: Given an image and an offset (e.g. (1, -1) for a 2-d image), grey-level co-occurences are pairs of intensity values for a specific pixel and the pixel at that offset from the specified pixel. These co-occurences can provide information about the visual texture of an image region -- for example, an eight-bit image of alternating pixel-wide white and black vertical lines would have a large number of (0, 255) and (255, 0) co-occurences for offset (1, 0).

The offset (or offsets) along which the co-occurences are calculated can be set by the user. Traditionally, only one offset is used per histogram, and offset components in the range [-1, 1] are used. For rotation-invariant features, averages of features computed over several histograms with different offsets are generally used, instead of computing features from one histogram created with several offsets. Additionally, instead of using offsets of two or more pixels in any direction, multy-resulution techniques (e.g. image pyramids) are generally used to deal with texture at different spatial resolutions.

This class calculates a 2-d histogram of all the co-occurence pairs in the given image's requested region, for a given set of offsets. That is, if a given offset falls outside of the requested region at a particular point, that co-occurrence pair will not be added to the matrix.

The number of histogram bins on each axis can be set (defaults to 256). Also, by default the histogram min and max corresponds to the largest and smallest possible pixel value of that pixel type. To customize the histogram bounds for a given image, the max and min pixel values that will be placed in the histogram can be set manually. NB: The min and max are INCLUSIVE.

Further, the type of histogram frequency container used is an optional template parameter. By default, a dense container is used, but for images with little texture or in cases where the user wants more histogram bins, a sparse container can be used for the histogram instead.

WARNING: This probably won't work for pixels of double or long-double type unless you set the histogram min and max manually. This is because the largest histogram bin by default has max value of the largest possible pixel value plus 1. For double and long-double types, whose "RealType" as defined by the NumericTraits class is the same, and thus cannot hold any larger values, this would cause a float overflow.

See also:
MaskedScalarImageToCooccurrenceMatrixFilter
HistogramToTextureFeaturesFilter
ScalarImageTextureCalculator
Author:
Zachary Pincus and Glenn Pierce

Definition at line 94 of file itkScalarImageToCooccurrenceMatrixFilter.h.


Member Typedef Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef SmartPointer< const Self > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ConstPointer

Reimplemented from itk::ProcessObject.

Definition at line 101 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef DataObject::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::DataObjectPointer [protected]

Standard itk::ProcessObject subclass method.

Reimplemented from itk::ProcessObject.

Definition at line 184 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ProcessObject::DataObjectPointerArraySizeType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::DataObjectPointerArraySizeType [protected]

Reimplemented from itk::ProcessObject.

Definition at line 186 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef HistogramType::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramConstPointer

Definition at line 124 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef HistogramType::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramPointer

Definition at line 123 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef Histogram< MeasurementType, THistogramFrequencyContainer > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::HistogramType

Definition at line 122 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ImageType::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImageConstPointer

Definition at line 111 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ImageType::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImagePointer

Definition at line 110 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef TImageType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ImageType

Definition at line 107 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef NumericTraits< PixelType >::RealType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MeasurementType

Definition at line 120 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef HistogramType::MeasurementVectorType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MeasurementVectorType

Definition at line 125 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ImageType::OffsetType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetType

Definition at line 115 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef VectorContainer< unsigned char, OffsetType > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVector

Definition at line 116 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef OffsetVector::ConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorConstPointer

Definition at line 118 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef OffsetVector::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorPointer

Definition at line 117 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ImageType::PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::PixelType

Definition at line 112 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef SmartPointer< Self > itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Pointer

Reimplemented from itk::ProcessObject.

Definition at line 100 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ImageType::SizeType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::RadiusType

Definition at line 114 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ImageType::RegionType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::RegionType

Definition at line 113 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ScalarImageToCooccurrenceMatrixFilter itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Self

Standard typedefs

Reimplemented from itk::ProcessObject.

Definition at line 98 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
typedef ProcessObject itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::Superclass

Reimplemented from itk::ProcessObject.

Definition at line 99 of file itkScalarImageToCooccurrenceMatrixFilter.h.


Constructor & Destructor Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToCooccurrenceMatrixFilter ( ) [protected]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::~ScalarImageToCooccurrenceMatrixFilter ( ) [inline, protected, virtual]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

Definition at line 175 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::ScalarImageToCooccurrenceMatrixFilter ( const Self ) [private]

Member Function Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual::itk::LightObject::Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::FillHistogram ( RadiusType  radius,
RegionType  region 
) [protected, virtual]
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::FillHistogramWithMask ( RadiusType  radius,
RegionType  region,
const ImageType maskImage 
) [protected, virtual]
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GenerateData ( ) [protected, virtual]

This method causes the filter to generate its output.

Reimplemented from itk::ProcessObject.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
const ImageType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetInput ( ) const
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetInsidePixelValue ( ) const [virtual]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
const ImageType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage ( ) const
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMax ( ) const [virtual]
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetMin ( ) const [virtual]
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual const char* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetNameOfClass ( ) const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::ProcessObject.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual bool itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetNormalize ( ) const [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual unsigned int itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetNumberOfBinsPerAxis ( ) const [virtual]

Set number of histogram bins along each axis

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual const OffsetVector* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOffsets ( ) [virtual]

Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
const HistogramType* itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::GetOutput ( ) const

method to get the Histogram

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual DataObjectPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::MakeOutput ( DataObjectPointerArraySizeType  idx) [protected, virtual]

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 TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
static Pointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::New ( ) [static]

standard New() method support

Reimplemented from itk::Object.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::NormalizeHistogram ( void  ) [private]
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::NormalizeOff ( ) [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::NormalizeOn ( ) [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::operator= ( const Self ) [private]

Time when GenerateOutputInformation was last called.

Reimplemented from itk::ProcessObject.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

Reimplemented from itk::ProcessObject.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInput ( const ImageType image)
template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetInsidePixelValue ( PixelType  _arg) [virtual]

Set the pixel value of the mask that should be considered "inside" the object. Defaults to one.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage ( const ImageType image)

Method to set/get the mask image

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetNormalize ( bool  _arg) [virtual]

Set the calculator to normalize the histogram (divide all bins by the total frequency). Normalization is off by default.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetNumberOfBinsPerAxis ( unsigned int  _arg) [virtual]

Set number of histogram bins along each axis

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetOffset ( const OffsetType  offset)

Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
virtual void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetOffsets ( const OffsetVector _arg) [virtual]

Set the offset or offsets over which the co-occurrence pairs will be computed. Calling either of these methods clears the previous offsets.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
void itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax ( PixelType  min,
PixelType  max 
)

Set the min and max (inclusive) pixel value that will be placed in the histogram


Member Data Documentation

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
const unsigned int itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::DefaultBinsPerAxis = 256 [static]

Definition at line 127 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_InsidePixelValue [private]

Definition at line 211 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
MeasurementVectorType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_LowerBound [private]

Definition at line 207 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_Max [private]

Definition at line 204 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
PixelType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_Min [private]

Definition at line 203 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
bool itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_Normalize [private]

Definition at line 209 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
unsigned int itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_NumberOfBinsPerAxis [private]

Definition at line 206 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
OffsetVectorConstPointer itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_Offsets [private]

Definition at line 202 of file itkScalarImageToCooccurrenceMatrixFilter.h.

template<class TImageType , class THistogramFrequencyContainer = DenseFrequencyContainer2>
MeasurementVectorType itk::Statistics::ScalarImageToCooccurrenceMatrixFilter< TImageType, THistogramFrequencyContainer >::m_UpperBound [private]

Definition at line 208 of file itkScalarImageToCooccurrenceMatrixFilter.h.


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