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

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

#include <itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h>

Inheritance diagram for itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >:
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Collaboration diagram for itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >:
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List of all members.

Public Types

typedef SmartPointer< const SelfConstPointer
typedef
HistogramType::FrequencyType 
FrequencyType
typedef HistogramType::ConstPointer HistogramConstPointer
typedef HistogramType::Pointer HistogramPointer
typedef THistogram HistogramType
typedef HistogramType::IndexType IndexType
typedef
HistogramType::MeasurementType 
MeasurementType
typedef
HistogramType::MeasurementVectorType 
MeasurementVectorType
typedef SmartPointer< SelfPointer
typedef
GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator 
Self
typedef Object Superclass

Public Member Functions

void Compute (void)
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual double GetClusterProminence ()
virtual double GetClusterShade ()
CommandGetCommand (unsigned long tag)
virtual double GetCorrelation ()
bool GetDebug () const
virtual double GetEnergy ()
virtual double GetEntropy ()
double GetFeature (TextureFeatureName feature)
virtual double GetHaralickCorrelation ()
virtual double GetInertia ()
virtual double GetInverseDifferenceMoment ()
MetaDataDictionaryGetMetaDataDictionary (void)
const MetaDataDictionaryGetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual int GetReferenceCount () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) 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

virtual void SetHistogram (HistogramType *_arg)
virtual HistogramTypeGetHistogram ()

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()

static void SetGlobalWarningDisplay (bool flag)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOn ()
static void GlobalWarningDisplayOff ()

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

 GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator ()
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual ~GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator ()

virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock

Detailed Description

template<class THistogram>
class itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< 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 itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h.


Member Typedef Documentation

Reimplemented from itk::Object.

Definition at line 110 of file itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h.

template<class THistogram >
typedef HistogramType::FrequencyType itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::FrequencyType
template<class THistogram >
typedef THistogram itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::HistogramType
template<class THistogram >
typedef HistogramType::IndexType itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::IndexType
typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class THistogram >
typedef HistogramType::MeasurementType itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::MeasurementType
template<class THistogram >
typedef HistogramType::MeasurementVectorType itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::MeasurementVectorType

Reimplemented from itk::Object.

Definition at line 109 of file itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h.

Standard typedefs

Reimplemented from itk::Object.

Definition at line 107 of file itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h.

Reimplemented from itk::Object.

Definition at line 108 of file itkGreyLevelCooccurrenceMatrixTextureCoefficientsCalculator.h.


Constructor & Destructor Documentation

template<class THistogram >
virtual itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::~GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator (  )  [inline, protected, virtual]

Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

static void itk::LightObject::BreakOnError (  )  [static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

template<class THistogram >
void itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::Compute ( void   ) 

Triggers the Computation of the histogram

virtual LightObject::Pointer itk::Object::CreateAnother (  )  const [virtual, inherited]
virtual void itk::Object::DebugOff (  )  const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn (  )  const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete (  )  [virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetClusterProminence (  )  [virtual]
template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetClusterShade (  )  [virtual]
Command* itk::Object::GetCommand ( unsigned long  tag  )  [inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetCorrelation (  )  [virtual]
bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetEnergy (  )  [virtual]
template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetEntropy (  )  [virtual]
template<class THistogram >
double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetFeature ( TextureFeatureName  feature  ) 

Methods to return the feature values.

Warning:
These outputs are only valid after the Compute() method has been invoked
See also:
Compute
static bool itk::Object::GetGlobalWarningDisplay (  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetHaralickCorrelation (  )  [virtual]
template<class THistogram >
virtual HistogramType* itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetHistogram (  )  [virtual]

Connects the GLCM histogram over which the features are going to be computed

template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetInertia (  )  [virtual]
template<class THistogram >
virtual double itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetInverseDifferenceMoment (  )  [virtual]
MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class THistogram >
virtual const char* itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::Object.

virtual int itk::LightObject::GetReferenceCount (  )  const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

static void itk::Object::GlobalWarningDisplayOff (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn (  )  [inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver ( const EventObject event  )  const [inherited]

Return true if an observer is registered for this event.

void itk::Object::InvokeEvent ( const EventObject  )  [inherited]

Call Execute on all the Commands observing this event id.

void itk::Object::InvokeEvent ( const EventObject  )  const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

virtual void itk::Object::Modified (  )  const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class THistogram >
static Pointer itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::New (  )  [static]

standard New() method support

Reimplemented from itk::Object.

void itk::LightObject::Print ( std::ostream &  os,
Indent  indent = 0 
) const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class THistogram >
void itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

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::Object.

virtual void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const [protected, virtual, inherited]

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.

virtual void itk::Object::Register (  )  const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

void itk::Object::RemoveAllObservers (  )  [inherited]

Remove all observers .

void itk::Object::RemoveObserver ( unsigned long  tag  )  [inherited]

Remove the observer with this tag value.

void itk::Object::SetDebug ( bool  debugFlag  )  const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

template<class THistogram >
virtual void itk::Statistics::GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator< THistogram >::SetHistogram ( HistogramType _arg  )  [virtual]

Connects the GLCM histogram over which the features are going to be computed

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]
Returns:
Set the MetaDataDictionary
virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

virtual void itk::Object::UnRegister (  )  const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.


Member Data Documentation

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.


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

Generated at Tue Jul 13 2010 04:03:31 for ITK by doxygen 1.7.1 written by Dimitri van Heesch, © 1997-2000