calculates the goodness-of-fit statstics for multivarate mixture model More...
#include <itkGoodnessOfFitMixtureModelCostFunction.h>
Public Types | |
typedef GoodnessOfFitComponentBase < TInputSample > | ComponentType |
typedef std::vector < ComponentType * > | ComponentVectorType |
typedef SmartPointer< const Self > | ConstPointer |
typedef Array< double > | DerivativeType |
typedef GoodnessOfFitFunctionBase < typename ComponentType::HistogramType > | FunctionType |
typedef TInputSample | InputSampleType |
typedef TInputSample::MeasurementType | MeasurementType |
typedef TInputSample::MeasurementVectorSizeType | MeasurementVectorSizeType |
typedef TInputSample::MeasurementVectorType | MeasurementVectorType |
typedef SingleValuedCostFunction::MeasureType | MeasureType |
typedef Superclass::ParametersType | ParametersType |
typedef double | ParametersValueType |
typedef SingleValuedCostFunction::ParametersType | ParamtersType |
typedef SmartPointer< Self > | Pointer |
typedef GoodnessOfFitMixtureModelCostFunction | Self |
typedef SingleValuedCostFunction | Superclass |
Public Member Functions | |
void | AddComponent (ComponentType *component) |
virtual LightObject::Pointer | CreateAnother () const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
virtual void | Delete () |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
virtual void | GetDerivative (const ParametersType &, DerivativeType &) const |
FunctionType * | GetFunction () |
const MetaDataDictionary & | GetMetaDataDictionary (void) const |
MetaDataDictionary & | GetMetaDataDictionary (void) |
virtual unsigned long | GetMTime () const |
virtual const char * | GetNameOfClass () const |
virtual unsigned int | GetNumberOfParameters () const |
virtual int | GetReferenceCount () const |
virtual MeasureType | GetValue (const ParametersType ¶meters) const |
bool | HasObserver (const EventObject &event) const |
void | InvokeEvent (const EventObject &) |
void | InvokeEvent (const EventObject &) const |
virtual void | Modified () const |
void | Print (std::ostream &os, Indent indent=0) const |
virtual void | Register () const |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetFunction (FunctionType *core) |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
virtual void | SetReferenceCount (int) |
virtual void | UnRegister () const |
virtual void | GetValueAndDerivative (const ParametersType ¶meters, MeasureType &value, DerivativeType &derivative) const |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
Static Public Member Functions | |
static void | BreakOnError () |
static Pointer | New () |
static void | SetGlobalWarningDisplay (bool flag) |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOn () |
static void | GlobalWarningDisplayOff () |
Protected Types | |
typedef int | InternalReferenceCountType |
Protected Member Functions | |
GoodnessOfFitMixtureModelCostFunction () | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | PrintSelf (std::ostream &os, Indent indent) const |
virtual | ~GoodnessOfFitMixtureModelCostFunction () |
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 |
calculates the goodness-of-fit statstics for multivarate mixture model
The goodness-of-fit statistics for a single model is discrepancy between the observed frequency and the expected frequency. To reduce computational load of multivariate case, this class uses projective method.
The projective multivariate goodness-of-fit statistics calculation follows the following steps:
1) creates a subsample that includes the measurement vectors that fall in a spherical kernel. 2) finds the base axes determined by the eigen vectors of the covariance matrix. 3) project the subsample on to one of the base axes (from step 2) 4) calculates the observed frequencies (in an 1D Histogram object) after projection (step 3) and the expected frequencies (in an 1D Histogram object) 5) calculates the discrepancy between the observed histogram and the expected histogram using a goodness-of-fit statistics 6) repeat step 3) - 5) and sum the goodness-of-fit values
For a mixture model, the above procedure is applied independently for each model (module). The sum of the goodness-of-fit values of models is the goodness-of-fit statistics for the mixture model.
The step 1) - 4) is done by the subclasses of GoodnessOfFitComponentBase, and the step 5) is done by the subclasses of GoodnessOfFitFunctionBase.
To see how this class interacts GoodnessOfFitComponentBase objects and GoodnessOfFitFunctionBase objects, please look at the implementation of the GetValue method of this class.
Better fit means smaller goodness-of-fit value in this implementation. This class is following the SingleValuedCostFunction interfaces so that users can uses this function with any subclasses of SingleValuedNonLinearOptimizer class as long as they do not use GetDerivative and GetValueAndDerivative methods.
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.
Definition at line 80 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef GoodnessOfFitComponentBase< TInputSample > itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::ComponentType |
Definition at line 109 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef std::vector< ComponentType* > itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::ComponentVectorType |
Definition at line 110 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef SmartPointer< const Self > itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::ConstPointer |
Reimplemented from itk::SingleValuedCostFunction.
Definition at line 88 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef Array<double> itk::SingleValuedCostFunction::DerivativeType [inherited] |
DerivativeType typedef. It defines a type used to return the cost function derivative.
Reimplemented in itk::CompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::CorrelationCoefficientHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::GradientDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::HistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::ImageToImageMetric< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectMetric< TFixedImage, TMovingSpatialObject >, itk::KappaStatisticImageToImageMetric< TFixedImage, TMovingImage >, itk::KullbackLeiblerCompareHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferenceImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanReciprocalSquareDifferencePointSetToImageMetric< TFixedPointSet, TMovingImage >, itk::MeanSquaresHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >, itk::MeanSquaresPointSetToImageMetric< TFixedPointSet, TMovingImage >, itk::MRIBiasEnergyFunction< TImage, TImageMask, TBiasField >, itk::MutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationImageToImageMetric< TFixedImage, TMovingImage >, itk::NormalizedCorrelationPointSetToImageMetric< TFixedPointSet, TMovingImage >, itk::NormalizedMutualInformationHistogramImageToImageMetric< TFixedImage, TMovingImage >, itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >, itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >, itk::ImageToImageMetric< TFixedImage, TMovingImage >, itk::MatchCardinalityImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 54 of file itkSingleValuedCostFunction.h.
typedef GoodnessOfFitFunctionBase< typename ComponentType::HistogramType > itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::FunctionType |
Definition at line 113 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef TInputSample itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::InputSampleType |
Definition at line 94 of file itkGoodnessOfFitMixtureModelCostFunction.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.
typedef TInputSample::MeasurementType itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::MeasurementType |
Definition at line 97 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef TInputSample::MeasurementVectorSizeType itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::MeasurementVectorSizeType |
Definition at line 99 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef TInputSample::MeasurementVectorType itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::MeasurementVectorType |
Definition at line 98 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef SingleValuedCostFunction::MeasureType itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::MeasureType |
MeasureType typedef. It defines a type used to return the cost function value.
Reimplemented from itk::SingleValuedCostFunction.
Definition at line 107 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef Superclass::ParametersType itk::SingleValuedCostFunction::ParametersType [inherited] |
ParametersType typedef. It defines a position in the optimization search space.
Reimplemented from itk::CostFunction.
Reimplemented in itk::ImageToImageMetric< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectMetric< TFixedImage, TMovingSpatialObject >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::MRIBiasEnergyFunction< TImage, TImageMask, TBiasField >, itk::MutualInformationImageToImageMetric< TFixedImage, TMovingImage >, itk::PointSetToImageMetric< TFixedPointSet, TMovingImage >, itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >, itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >, itk::ImageToImageMetric< TFixedImage, TMovingImage >, itk::MattesMutualInformationImageToImageMetric< TFixedImage, TMovingImage >, and itk::MeanSquaresImageToImageMetric< TFixedImage, TMovingImage >.
Definition at line 58 of file itkSingleValuedCostFunction.h.
typedef double itk::CostFunction::ParametersValueType [inherited] |
ParametersType typedef. It defines a position in the optimization search space.
Definition at line 46 of file itkCostFunction.h.
typedef SingleValuedCostFunction::ParametersType itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::ParamtersType |
ParametersType typedef. It defines a position in the optimization search space.
Definition at line 103 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef SmartPointer< Self > itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::Pointer |
Reimplemented from itk::SingleValuedCostFunction.
Definition at line 87 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef GoodnessOfFitMixtureModelCostFunction itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::Self |
Standard class typedefs
Reimplemented from itk::SingleValuedCostFunction.
Definition at line 85 of file itkGoodnessOfFitMixtureModelCostFunction.h.
typedef SingleValuedCostFunction itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::Superclass |
Reimplemented from itk::SingleValuedCostFunction.
Definition at line 86 of file itkGoodnessOfFitMixtureModelCostFunction.h.
itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GoodnessOfFitMixtureModelCostFunction | ( | ) | [protected] |
virtual itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::~GoodnessOfFitMixtureModelCostFunction | ( | ) | [protected, virtual] |
void itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::AddComponent | ( | ComponentType * | component | ) |
aceesing methods for the sample manipulator
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | const [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
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.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.
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.
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.
bool itk::Object::GetDebug | ( | ) | const [inherited] |
Get the value of the debug flag.
virtual void itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetDerivative | ( | const ParametersType & | , | |
DerivativeType & | ||||
) | const [inline, virtual] |
This method returns the derivative of the cost function corresponding to the specified parameters.
Implements itk::SingleValuedCostFunction.
Definition at line 132 of file itkGoodnessOfFitMixtureModelCostFunction.h.
FunctionType* itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetFunction | ( | ) | [inline] |
Definition at line 121 of file itkGoodnessOfFitMixtureModelCostFunction.h.
static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
virtual const char* itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods).
Reimplemented from itk::SingleValuedCostFunction.
virtual unsigned int itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetNumberOfParameters | ( | ) | const [virtual] |
Return the number of parameters required to compute this cost function. This method MUST be overloaded by derived classes.
Implements itk::CostFunction.
virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
virtual MeasureType itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::GetValue | ( | const ParametersType & | parameters | ) | const [virtual] |
This method returns the value of the cost function corresponding to the specified parameters.
Implements itk::SingleValuedCostFunction.
virtual void itk::SingleValuedCostFunction::GetValueAndDerivative | ( | const ParametersType & | parameters, | |
MeasureType & | value, | |||
DerivativeType & | derivative | |||
) | const [inline, virtual, inherited] |
This method returns the value and derivative of the cost function corresponding to the specified parameters
Definition at line 71 of file itkSingleValuedCostFunction.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, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
static Pointer itk::Statistics::GoodnessOfFitMixtureModelCostFunction< 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.
Referenced by itk::WeakPointer< ProcessObject >::Print().
virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, inherited] |
virtual void itk::Statistics::GoodnessOfFitMixtureModelCostFunction< 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::CostFunction.
virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
void itk::Statistics::GoodnessOfFitMixtureModelCostFunction< TInputSample >::SetFunction | ( | FunctionType * | core | ) |
aceesing methods for the expected probability histogram
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().
void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.