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Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Protected Attributes | Private Attributes
itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample > Class Template Reference

is a GoodnessOfFitComponent for Gaussian distribution. More...

#include <itkGaussianGoodnessOfFitComponent.h>

+ Inheritance diagram for itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >:
+ Collaboration diagram for itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >:

List of all members.

Public Types

typedef Superclass::CenterType CenterType
typedef SmartPointer< const Self > ConstPointer
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< Self > Pointer
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

unsigned long AddObserver (const EventObject &event, Command *)
unsigned long AddObserver (const EventObject &event, Command *) const
virtual ::itk::LightObject::Pointer CreateAnother (void) const
virtual void CreateHistograms ()
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
CenterType * GetCenter ()
Command * GetCommand (unsigned long tag)
double GetCumulativeProbability (double x) const
bool GetDebug () const
HistogramType * GetExpectedHistogram ()
ParametersType GetFullParameters () const
double GetHistogramBinOverlap ()
double GetHistogramExtent ()
int GetHistogramNumberOfBins ()
bool GetHistogramUseEquiProbableBins ()
const TInputSample * GetInputSample () const
MeanType * GetMean ()
virtual MeasurementVectorSizeType GetMeasurementVectorSize () const
MetaDataDictionary & GetMetaDataDictionary (void)
const MetaDataDictionary & GetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
unsigned int GetNumberOfParameters () const
HistogramType * GetObservedHistogram ()
ParametersType * GetParameters ()
double GetProbabilityDensity (MeasurementVectorType &measurements) const
virtual double GetProportion () const
RadiusType * GetRadius ()
virtual int GetReferenceCount () const
ResampledSampleType * GetResampledSample ()
virtual unsigned int GetResampledSampleSize ()
StandardDeviationType * GetStandardDeviation ()
double * GetTotalObservedScale ()
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
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
void SetHistogramBinOverlap (double overlap)
void SetHistogramExtent (double extent)
void SetHistogramNumberOfBins (int numberOfBins)
void SetHistogramUseEquiProbableBins (bool flag)
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 ()

Static Public Member Functions

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

Protected Types

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

Protected Member Functions

 GaussianGoodnessOfFitComponent ()
virtual ~GaussianGoodnessOfFitComponent ()
virtual void CalculateProjectionAxes ()
virtual void CreateEquiProbableBins ()
virtual void CreateEquiRangeBins ()
ProjectionAxisArrayType * GetProjectionAxes ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
bool PrintObservers (std::ostream &os, Indent indent) const
virtual void PrintSelf (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock

Private Attributes

CenterType m_Center
CovarianceType m_Covariance
CovarianceCalculatorType::Pointer m_CovarianceCalculator
double m_LargestEigenValue
int m_LongestAxisIndex
MeanType m_Mean
unsigned int m_NumberOfParameters
ProbabilityDensityFunctionType::Pointer m_ProbabilityDensityFunction
ProjectionAxisCalculatorType * m_ProjectionAxisCalculator
RadiusType m_Radius
StandardDeviationType m_StandardDeviation

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.

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

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

Definition at line 59 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
typedef WeightedCovarianceCalculator< ResampledSampleType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CovarianceCalculatorType

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.

template<class TInputSample>
typedef ProbabilityDensityFunctionType::CovarianceType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CovarianceType

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 118 of file itkGoodnessOfFitComponentBase.h.

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

Definition at line 117 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 116 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
protectedinherited

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

Definition at line 137 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 Superclass::MeasurementVectorSizeType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::MeasurementVectorSizeType

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

Definition at line 80 of file itkGaussianGoodnessOfFitComponent.h.

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

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

Definition at line 71 of file itkGaussianGoodnessOfFitComponent.h.

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

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

Definition at line 58 of file itkGaussianGoodnessOfFitComponent.h.

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

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.

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

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.

template<class TInputSample>
typedef SymmetricEigenAnalysis< ProjectionAxisArrayType, EigenValuesArrayType > itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ProjectionAxisCalculatorType

Definition at line 99 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample >
typedef SampleToHistogramProjectionFilter< ResampledSampleType, float > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ProjectorType
protectedinherited

default projection filter type

Definition at line 256 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 Superclass::ResampledSampleType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::ResampledSampleType

Resample() output type

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

Definition at line 78 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample >
typedef NeighborhoodSampler< TInputSample > itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::ResamplerType
protectedinherited

default resampler type and realted types

Definition at line 252 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.

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

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

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

Definition at line 57 of file itkGaussianGoodnessOfFitComponent.h.

Constructor & Destructor Documentation

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

Definition at line 29 of file itkGaussianGoodnessOfFitComponent.txx.

template<class TInputSample >
itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::~GaussianGoodnessOfFitComponent ( )
protectedvirtual

Definition at line 51 of file itkGaussianGoodnessOfFitComponent.txx.

Member Function Documentation

unsigned long itk::Object::AddObserver ( const EventObject &  event,
Command *  cmd 
)
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

Definition at line 389 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver ( const EventObject &  event,
Command *  cmd 
) const
inherited

Definition at line 401 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::LightObject::BreakOnError ( )
staticinherited

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

Definition at line 149 of file itkLightObject.cxx.

template<class TInputSample >
void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::CalculateProjectionAxes ( )
protectedvirtual

Calculates the base axes for projection

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

Definition at line 168 of file itkGaussianGoodnessOfFitComponent.txx.

template<class TInputSample>
virtual::itk::LightObject::Pointer itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::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 TInputSample >
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiProbableBins ( )
protectedvirtualinherited

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

Definition at line 233 of file itkGoodnessOfFitComponentBase.txx.

template<class TInputSample >
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::CreateEquiRangeBins ( )
protectedvirtualinherited

Creates an empty histogram with bins having same interval

Definition at line 293 of file itkGoodnessOfFitComponentBase.txx.

template<class TInputHistogram >
void itk::Statistics::GoodnessOfFitComponentBase< TInputHistogram >::CreateHistograms ( )
virtualinherited

Generates the histogram (expected and observed)

Definition at line 314 of file itkGoodnessOfFitComponentBase.txx.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

void itk::Object::DebugOff ( ) const
virtualinherited

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const
virtualinherited

Turn debugging output on.

Definition at line 242 of file itkObject.cxx.

void itk::LightObject::Delete ( )
virtualinherited

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.

Delete a 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.

Definition at line 88 of file itkLightObject.cxx.

template<class TInputSample >
GaussianGoodnessOfFitComponent< TInputSample >::CenterType * itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCenter ( void  )
virtual

Gets the center point for the neighborhood sampling

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

Definition at line 135 of file itkGaussianGoodnessOfFitComponent.txx.

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.

Definition at line 414 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

Referenced by itk::Object::GetCommand().

template<class TInputSample >
double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::GetCumulativeProbability ( double  x) const
virtual

Univariate (standard) cumulative probability function

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

Definition at line 222 of file itkGaussianGoodnessOfFitComponent.txx.

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

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

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

Gets the expected historm

Definition at line 418 of file itkGoodnessOfFitComponentBase.txx.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

template<class TInputSample >
GaussianGoodnessOfFitComponent< 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 >.

Definition at line 279 of file itkGaussianGoodnessOfFitComponent.txx.

bool itk::Object::GetGlobalWarningDisplay ( )
staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

template<class TInputSample >
double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramBinOverlap ( )
inlineinherited

Definition at line 167 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_HistogramBinOverlap.

template<class TInputSample >
double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramExtent ( )
inlineinherited

Definition at line 173 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_HistogramExtent.

template<class TInputSample >
int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramNumberOfBins ( )
inlineinherited

Definition at line 155 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_HistogramNumberOfBins.

template<class TInputSample >
bool itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetHistogramUseEquiProbableBins ( )
inlineinherited

Definition at line 162 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_HistogramUseEquiProbableBins.

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

Definition at line 151 of file itkGoodnessOfFitComponentBase.txx.

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

Gets the mean of the distributon

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

Definition at line 152 of file itkGaussianGoodnessOfFitComponent.txx.

template<class TInputSample >
virtual MeasurementVectorSizeType itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetMeasurementVectorSize ( ) const
virtualinherited

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(), and itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  )
inherited
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 532 of file itkObject.cxx.

References NULL.

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::Brains2MaskImageIO::CanReadFile(), otb::DataNode< TPrecision, VDimension, TValuePrecision >::CopyFieldList(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetBodyPart(), itk::GDCMImageIO::GetInstitution(), itk::GDCMImageIO::GetManufacturer(), itk::GDCMImageIO::GetModality(), itk::GDCMImageIO::GetModel(), itk::GDCMImageIO::GetNumberOfSeriesInStudy(), itk::GDCMImageIO::GetNumberOfStudyRelatedSeries(), itk::GDCMImageIO::GetPatientAge(), itk::GDCMImageIO::GetPatientDOB(), itk::GDCMImageIO::GetPatientID(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetPatientSex(), itk::GDCMImageIO::GetScanOptions(), itk::GDCMImageIO::GetStudyDate(), itk::GDCMImageIO::GetStudyDescription(), itk::GDCMImageIO::GetStudyID(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), itk::GDCMImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::RAMDrivenAdaptativeStreamingManager< TImage >::PrepareStreaming(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), otb::JPEG2000ImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MRCImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ImageMetadataInterfaceBase::SetImage(), itk::NiftiImageIO::SetImageIOMetadataFromNIfTI(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::SetOutputParametersFromImage(), itk::NrrdImageIO::Write(), itk::GDCMImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void  ) const
inherited
Returns:
A constant reference to this objects MetaDataDictionary.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 543 of file itkObject.cxx.

References NULL.

unsigned long itk::Object::GetMTime ( void  ) const
virtualinherited

Return this objects modified time.

Return the modification for this object.

Reimplemented in itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, 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::ShiftScalePixelAccessor< 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::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::SpatialObject< TDimension >, itk::SpatialObject< 3 >, itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::MeshSpatialObject< TMesh >, and itk::SceneSpatialObject< TSpaceDimension >.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().

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
inlinevirtual

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 >
GoodnessOfFitComponentBase< TInputSample >::HistogramType * itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetObservedHistogram ( )
inherited

Gets the observed historm

Definition at line 410 of file itkGoodnessOfFitComponentBase.txx.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

template<class TInputSample >
ParametersType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetParameters ( void  )
inlineinherited

Definition at line 146 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_Parameters.

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

Multivariate probability density function

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

Definition at line 254 of file itkGaussianGoodnessOfFitComponent.txx.

template<class TInputSample >
ProjectionAxisArrayType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProjectionAxes ( )
inlineprotectedinherited

Definition at line 265 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_ProjectionAxes.

template<class TInputSample >
virtual double itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetProportion ( ) const
inlinevirtualinherited

Gets the proportion of this component among multiple components.

Definition at line 225 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_Proportion.

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

Gets the radius for the neighborhood sampling

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

Definition at line 143 of file itkGaussianGoodnessOfFitComponent.txx.

virtual int itk::LightObject::GetReferenceCount ( ) const
inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

template<class TInputSample >
ResampledSampleType* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSample ( )
inlineinherited

Gets the sampled data set

Definition at line 195 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_Resampler.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

template<class TInputSample >
unsigned int itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetResampledSampleSize ( )
virtualinherited

Gest the size of the sampled data set

Definition at line 360 of file itkGoodnessOfFitComponentBase.txx.

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

Gets the standard deviation of the distribution

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

Definition at line 160 of file itkGaussianGoodnessOfFitComponent.txx.

template<class TInputSample >
double* itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::GetTotalObservedScale ( )
inlineinherited

Gets the total scale of the observed histogram

Definition at line 213 of file itkGoodnessOfFitComponentBase.h.

References itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::m_TotalObservedScale.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

static void itk::Object::GlobalWarningDisplayOff ( )
inlinestaticinherited

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

static void itk::Object::GlobalWarningDisplayOn ( )
inlinestaticinherited

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.

Definition at line 467 of file itkObject.cxx.

void itk::Object::InvokeEvent ( const EventObject &  event)
inherited

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

void itk::Object::InvokeEvent ( const EventObject &  event) const
inherited

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

Definition at line 457 of file itkObject.cxx.

void itk::Object::Modified ( void  ) const
virtualinherited

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

Make sure this object's modified time is greater than all others.

Reimplemented in otb::SVMModel< TValue, TLabel >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, 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::ShiftScalePixelAccessor< 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 > >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, 2 >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 297 of file itkObject.cxx.

Referenced by otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), otb::VectorDataModel::AddPointToGeometry(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::VectorDataModel::DeleteGeometry(), otb::VectorDataModel::EndGeometry(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOff(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), itk::MatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetChannelList(), itk::LBFGSBOptimizer::SetCostFunction(), itk::MINC2ImageIO::SetDimensionName(), itk::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), 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(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), otb::MapProjectionAdapter::SetParameter(), otb::Function::GaussianRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), itk::ImageIOBase::SetSpacing(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), and otb::MapProjectionAdapter::SetWkt().

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

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

void itk::LightObject::PrintHeader ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print header for all objects.

Definition at line 320 of file itkLightObject.cxx.

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const
protectedinherited

Definition at line 478 of file itkObject.cxx.

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 >.

Definition at line 262 of file itkGaussianGoodnessOfFitComponent.txx.

template<class TInputSample >
void itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Chaining method to print an object's instance variables, as well as its superclasses.

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

Definition at line 81 of file itkGaussianGoodnessOfFitComponent.txx.

void itk::LightObject::PrintTrailer ( std::ostream &  os,
Indent  indent 
) const
protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 331 of file itkLightObject.cxx.

template<class TInputSample >
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Project ( int  projectionAxisIndex)
virtualinherited

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

Definition at line 369 of file itkGoodnessOfFitComponentBase.txx.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

void itk::Object::Register ( ) const
virtualinherited

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

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

void itk::Object::RemoveAllObservers ( )
inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

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

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

template<class TInputSample >
void itk::Statistics::GoodnessOfFitComponentBase< TInputSample >::Resample ( )
virtualinherited

Samples measurement vectors using the center and radius

Definition at line 349 of file itkGoodnessOfFitComponentBase.txx.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

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

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

Definition at line 275 of file itkObject.cxx.

void itk::Object::SetGlobalWarningDisplay ( bool  val)
staticinherited

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

Set the value of the global debug output control flag.

Definition at line 370 of file itkObject.cxx.

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.

Definition at line 196 of file itkGoodnessOfFitComponentBase.txx.

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

Definition at line 209 of file itkGoodnessOfFitComponentBase.txx.

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

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

Definition at line 183 of file itkGoodnessOfFitComponentBase.txx.

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.

Definition at line 221 of file itkGoodnessOfFitComponentBase.txx.

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

Set the input sample

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

Definition at line 59 of file itkGaussianGoodnessOfFitComponent.txx.

References itk::MeasurementVectorTraits::SetLength().

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary &  rhs)
inherited
Returns:
Set the MetaDataDictionary

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

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

Sets the component distribution parameters

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

Definition at line 102 of file itkGaussianGoodnessOfFitComponent.txx.

void itk::Object::SetReferenceCount ( int  ref)
virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 347 of file itkObject.cxx.

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.

Definition at line 171 of file itkGoodnessOfFitComponentBase.txx.

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

void itk::Object::UnRegister ( ) const
virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 324 of file itkObject.cxx.

Referenced by itk::Object::New(), and itk::ObjectFactoryBase::UnRegisterFactory().

template<class TInputHistogram >
void itk::Statistics::GoodnessOfFitComponentBase< TInputHistogram >::UpdateExpectedHistogram ( )
virtualinherited

Fills up the expected histogram based on the distribution parameters

Definition at line 386 of file itkGoodnessOfFitComponentBase.txx.

References itk::Statistics::Histogram< TMeasurement, VMeasurementVectorSize, TFrequencyContainer >::Iterator::SetFrequency().

Referenced by itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue().

Member Data Documentation

template<class TInputSample>
CenterType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_Center
private

Definition at line 152 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
CovarianceType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_Covariance
private

Definition at line 155 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
CovarianceCalculatorType::Pointer itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_CovarianceCalculator
private

Definition at line 148 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
double itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_LargestEigenValue
private

Definition at line 160 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
int itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_LongestAxisIndex
private

Definition at line 159 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
MeanType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_Mean
private

Definition at line 151 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
unsigned int itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_NumberOfParameters
private

Definition at line 157 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
ProbabilityDensityFunctionType::Pointer itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_ProbabilityDensityFunction
private

Definition at line 147 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
ProjectionAxisCalculatorType* itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_ProjectionAxisCalculator
private

Definition at line 149 of file itkGaussianGoodnessOfFitComponent.h.

template<class TInputSample>
RadiusType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_Radius
private

Definition at line 153 of file itkGaussianGoodnessOfFitComponent.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount
mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock
mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

template<class TInputSample>
StandardDeviationType itk::Statistics::GaussianGoodnessOfFitComponent< TInputSample >::m_StandardDeviation
private

Definition at line 154 of file itkGaussianGoodnessOfFitComponent.h.

The documentation for this class was generated from the following files:
Generated at Sun Feb 3 2013 03:01:43 for Orfeo Toolbox with doxygen 1.8.1.1