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itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample > Class Template Reference

#include <itkGaussianGoodnessOfFitComponent.h>

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List of all members.


Detailed Description

template<class TInputSample>
class itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >

is a GoodnessOfFitComponent for Gaussian distribution.

Among the GoodnessOfFitComponentBase's methods, this class provides implementations for the CalculateProjectionAxess, the GetCumulativeProbability (univariate CDF), and the GetProbabilityDensity (multivariate PDF)methods.

The CalculateProjectionAxes method creats an array of projection axes that are the eigen vectors generated from the weighted covariance matrix of the resampled sample using a spherical kernel.

Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize has been removed to allow the length of a measurement vector to be specified at run time. This is now obtained from the input sample.

See also:
GoodnessOfFitComponentBase, GoodnessOfFitMixtureModelCostFunction

Definition at line 51 of file itkGaussianGoodnessOfFitComponent.h.


Public Types

typedef Superclass::CenterType CenterType
typedef SmartPointer< const SelfConstPointer
typedef
WeightedCovarianceCalculator
< ResampledSampleType
CovarianceCalculatorType
typedef
ProbabilityDensityFunctionType::CovarianceType 
CovarianceType
typedef Array< double > EigenValuesArrayType
typedef HistogramType::ConstPointer HistogramConstPointer
typedef HistogramType::Pointer HistogramPointer
typedef Histogram< float, 1 > HistogramType
typedef TInputSample InputSampleType
typedef Superclass::MeanType MeanType
typedef
TInputSample::MeasurementType 
MeasurementType
typedef
Superclass::MeasurementVectorSizeType 
MeasurementVectorSizeType
typedef
TInputSample::MeasurementVectorType 
MeasurementVectorType
typedef Array< double > ParametersType
typedef SmartPointer< SelfPointer
typedef
GaussianDensityFunction
< MeasurementVectorType
ProbabilityDensityFunctionType
typedef
Superclass::ProjectionAxisArrayType 
ProjectionAxisArrayType
typedef SymmetricEigenAnalysis
< ProjectionAxisArrayType,
EigenValuesArrayType
ProjectionAxisCalculatorType
typedef Superclass::RadiusType RadiusType
typedef
Superclass::ResampledSampleType 
ResampledSampleType
typedef
GaussianGoodnessOfFitComponent 
Self
typedef
Superclass::StandardDeviationType 
StandardDeviationType
typedef
GoodnessOfFitComponentBase
< TInputSample > 
Superclass

Public Member Functions

virtual LightObject::Pointer CreateAnother () const
virtual void CreateHistograms ()
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
CenterTypeGetCenter ()
CommandGetCommand (unsigned long tag)
double GetCumulativeProbability (double x) const
bool GetDebug () const
HistogramTypeGetExpectedHistogram ()
ParametersType GetFullParameters () const
MeanTypeGetMean ()
virtual MeasurementVectorSizeType GetMeasurementVectorSize () const
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
unsigned int GetNumberOfParameters () const
HistogramTypeGetObservedHistogram ()
double GetProbabilityDensity (MeasurementVectorType &measurements) const
virtual double GetProportion () const
RadiusTypeGetRadius ()
virtual int GetReferenceCount () const
ResampledSampleTypeGetResampledSample ()
virtual unsigned int GetResampledSampleSize ()
StandardDeviationTypeGetStandardDeviation ()
double * GetTotalObservedScale ()
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
void PrintParameters (std::ostream &os) const
virtual void Project (int projectionAxisIndex)
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void Resample ()
void SetDebug (bool debugFlag) const
virtual void SetInputSample (const TInputSample *sample)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
void SetParameters (const ParametersType &parameter)
virtual void SetReferenceCount (int)
void SetUseExpectedHistogram (bool flag)
virtual void UnRegister () const
virtual void UpdateExpectedHistogram ()
unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
double GetHistogramBinOverlap ()
void SetHistogramBinOverlap (double overlap)
double GetHistogramExtent ()
void SetHistogramExtent (double extent)
int GetHistogramNumberOfBins ()
void SetHistogramNumberOfBins (int numberOfBins)
bool GetHistogramUseEquiProbableBins ()
void SetHistogramUseEquiProbableBins (bool flag)
const TInputSample * GetInputSample () const
ParametersTypeGetParameters ()

Static Public Member Functions

static void BreakOnError ()
static Pointer New ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)

Protected Types

typedef
SampleToHistogramProjectionFilter
< ResampledSampleType, float > 
ProjectorType
typedef NeighborhoodSampler
< TInputSample > 
ResamplerType
typedef int InternalReferenceCountType

Protected Member Functions

virtual void CalculateProjectionAxes ()
virtual void CreateEquiProbableBins ()
virtual void CreateEquiRangeBins ()
 GaussianGoodnessOfFitComponent ()
ProjectionAxisArrayTypeGetProjectionAxes ()
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual ~GaussianGoodnessOfFitComponent ()
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

Member Typedef Documentation

template<class TInputSample>
typedef Superclass::CenterType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CenterType

Typedefs from Superclass

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 74 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef SmartPointer< const Self > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ConstPointer

Type of the covariance calculator. the output of this calculator is a covariance matrix that is used as the input of the Projection calculator

Definition at line 94 of file itkGaussianGoodnessOfFitComponent.h.

Definition at line 88 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef Array< double > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::EigenValuesArrayType

Default projection axis calculator type.

Definition at line 97 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef HistogramType::ConstPointer itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramConstPointer [inherited]

Definition at line 117 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
typedef HistogramType::Pointer itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramPointer [inherited]

Definition at line 116 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
typedef Histogram< float, 1 > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::HistogramType [inherited]

Histogram type that will be used for observed and expected histogram

Definition at line 115 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
typedef TInputSample itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::InputSampleType [inherited]

TInputSample type alias

Definition at line 100 of file itkGoodnessOfFitComponentBase.h.

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 TInputSample>
typedef Superclass::MeanType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeanType

Type of the mean of the distribution

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 76 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef TInputSample::MeasurementType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementType

Typedefs from input sample

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 66 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef TInputSample::MeasurementVectorType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementVectorType

template<class TInputSample>
typedef Array< double > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ParametersType

Type of the array of component parameters

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 81 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef SmartPointer< Self > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Pointer

Weight function type. The density values are used as weights of each instance (measurement vector) for the Covariance calulator

Definition at line 86 of file itkGaussianGoodnessOfFitComponent.h.

projection axis array type. The type of output from CalculateProjectionAxis(). The number of projection axis are fixed equal to the number of components of a measurement vector.

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 79 of file itkGaussianGoodnessOfFitComponent.h.

Definition at line 99 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef SampleToHistogramProjectionFilter< ResampledSampleType, float > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ProjectorType [protected, inherited]

default projection filter type

Definition at line 262 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
typedef Superclass::RadiusType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::RadiusType

Type of the radius of the hyperspherical neighborhood sampling

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 75 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef NeighborhoodSampler< TInputSample > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ResamplerType [protected, inherited]

default resampler type and realted types

Definition at line 258 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
typedef GaussianGoodnessOfFitComponent itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Self

Standard class typedefs

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 56 of file itkGaussianGoodnessOfFitComponent.h.

Type of standard deviation of the distribution

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 77 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef GoodnessOfFitComponentBase< TInputSample > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::Superclass


Constructor & Destructor Documentation

template<class TInputSample>
itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GaussianGoodnessOfFitComponent (  )  [protected]

template<class TInputSample>
virtual itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::~GaussianGoodnessOfFitComponent (  )  [protected, virtual]


Member Function Documentation

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

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

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

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

template<class TInputSample>
virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CalculateProjectionAxes (  )  [protected, virtual]

Calculates the base axes for projection

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

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

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::LightObject.

template<class TInputSample>
virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiProbableBins (  )  [protected, virtual, inherited]

Creates an empty histogram with bins having same probability based on the distribution parameters

template<class TInputSample>
virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiRangeBins (  )  [protected, virtual, inherited]

Creates an empty histogram with bins having same interval

template<class TInputSample>
virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateHistograms (  )  [virtual, inherited]

Generates the histogram (expected and observed)

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 TInputSample>
CenterType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCenter (  )  [virtual]

Gets the center point for the neighborhood sampling

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

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 TInputSample>
double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCumulativeProbability ( double  x  )  const [virtual]

Univariate (standard) cumulative probability function

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

bool itk::Object::GetDebug (  )  const [inherited]

Get the value of the debug flag.

template<class TInputSample>
HistogramType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetExpectedHistogram (  )  [inherited]

Gets the expected historm

template<class TInputSample>
ParametersType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetFullParameters (  )  const [virtual]

Gets the full distribution parameters which consists of mean vector and covariance matrix in a single array

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

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 TInputSample>
double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramBinOverlap (  )  [inline, inherited]

Set/Get the overlapping effects extent.

Definition at line 170 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramExtent (  )  [inline, inherited]

Set/Gets the extent of histogram from the mean in terms of standard deivation

Definition at line 177 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramNumberOfBins (  )  [inline, inherited]

Set/Gets the nubmer of bins of histograms (expected and observed)

Definition at line 156 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
bool itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramUseEquiProbableBins (  )  [inline, inherited]

Set/Gets the flag that indicates the probability of each bins in the histograms should be equal. This can be achieved by varying the interval of bins.

Definition at line 164 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
const TInputSample* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetInputSample (  )  const [inherited]

Set/Gets the input sample

template<class TInputSample>
MeanType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetMean (  )  [virtual]

Gets the mean of the distributon

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample>
virtual MeasurementVectorSizeType itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetMeasurementVectorSize (  )  const [virtual, inherited]

Get Macro to get the length of a measurement vector. This is equal to the length of each measurement vector contained in the samples that are plugged in as input to this class. GetMeasurementVectorSize() will return zero until the SetInputSample() method has been called

Referenced by itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNumberOfParameters().

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]

Returns:
A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]

Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

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, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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 TInputSample>
virtual const char* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNameOfClass (  )  const [virtual]

Run-time type information (and related methods).

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample>
unsigned int itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetNumberOfParameters ( void   )  const [inline, virtual]

Gets the size of parameters which consists of mean and standard deviation

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

Definition at line 103 of file itkGaussianGoodnessOfFitComponent.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetMeasurementVectorSize().

template<class TInputSample>
HistogramType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetObservedHistogram (  )  [inherited]

Gets the observed historm

template<class TInputSample>
ParametersType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetParameters ( void   )  [inline, inherited]

Set/Gets the component parameters

Definition at line 146 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetProbabilityDensity ( MeasurementVectorType measurements  )  const [virtual]

Multivariate probability density function

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample>
ProjectionAxisArrayType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProjectionAxes (  )  [inline, protected, inherited]

Definition at line 271 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
virtual double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProportion (  )  const [inline, virtual, inherited]

Gets the proportion of this component among multiple components.

Definition at line 231 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
RadiusType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetRadius (  )  [virtual]

Gets the radius for the neighborhood sampling

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

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

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TInputSample>
ResampledSampleType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSample (  )  [inline, inherited]

Gets the sampled data set

Definition at line 200 of file itkGoodnessOfFitComponentBase.h.

template<class TInputSample>
virtual unsigned int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSampleSize (  )  [virtual, inherited]

Gest the size of the sampled data set

template<class TInputSample>
StandardDeviationType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetStandardDeviation (  )  [virtual]

Gets the standard deviation of the distribution

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample>
double* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetTotalObservedScale (  )  [inline, inherited]

Gets the total scale of the observed histogram

Definition at line 218 of file itkGoodnessOfFitComponentBase.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  )  const [inherited]

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

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

Call Execute on all the Commands observing this event id.

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, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, itk::RankImageFilter< TInputImage, TInputImage, itk::FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TInputSample>
static Pointer itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::New (  )  [static]

Method for creation through the object factory.

Reimplemented from itk::Object.

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

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 TInputSample>
void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::PrintParameters ( std::ostream &  os  )  const [virtual]

Prints all the parameters. Usually for debugging.

Implements itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

template<class TInputSample>
virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::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::Statistics::GoodnessOfFitComponentBase< TInputSample >.

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.

template<class TInputSample>
virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Project ( int  projectionAxisIndex  )  [virtual, inherited]

Projects measurement vectors onto the projection axis calculated by the CalculateProjectionAxes method.

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.

template<class TInputSample>
virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Resample (  )  [virtual, inherited]

Samples measurement vectors using the center and radius

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 TInputSample>
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramBinOverlap ( double  overlap  )  [inherited]

Set/Get the overlapping effects extent.

template<class TInputSample>
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramExtent ( double  extent  )  [inherited]

Set/Gets the extent of histogram from the mean in terms of standard deivation

template<class TInputSample>
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramNumberOfBins ( int  numberOfBins  )  [inherited]

Set/Gets the nubmer of bins of histograms (expected and observed)

template<class TInputSample>
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetHistogramUseEquiProbableBins ( bool  flag  )  [inherited]

Set/Gets the flag that indicates the probability of each bins in the histograms should be equal. This can be achieved by varying the interval of bins.

template<class TInputSample>
virtual void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::SetInputSample ( const TInputSample *  sample  )  [virtual]

Set the input sample

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs  )  [inherited]

Returns:
Set the MetaDataDictionary

template<class TInputSample>
void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::SetParameters ( const ParametersType parameter  )  [virtual]

Sets the component distribution parameters

Reimplemented from itk::Statistics::GoodnessOfFitComponentBase< TInputSample >.

virtual void itk::Object::SetReferenceCount ( int   )  [virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TInputSample>
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::SetUseExpectedHistogram ( bool  flag  )  [inherited]

Sets the flag that indicates this component uses the histogram generated with expected distribution from the parameters.

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

Referenced by itk::SmartPointer< itk::MutualInformationImageToImageMetric >::operator=().

template<class TInputSample>
virtual void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::UpdateExpectedHistogram (  )  [virtual, inherited]

Fills up the expected histogram based on the distribution parameters


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 Sat Feb 28 19:16:34 2009 for ITK by doxygen 1.5.6 written by Dimitri van Heesch, © 1997-2000