is a component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in ExpectationMaximizationMixtureModelEstimator. More...
#include <itkGaussianMixtureModelComponent.h>
is a component (derived from MixtureModelComponentBase) for Gaussian class. This class is used in ExpectationMaximizationMixtureModelEstimator.
On every iteration of EM estimation, this class's GenerateData method is called to compute the new distribution parameters.
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. It is now obtained at run time from the sample set as input. Please use the function GetMeasurementVectorSize() to get the length.
Definition at line 48 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef SmartPointer<const Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 56 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef SmartPointer<const Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::ConstPointer |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 56 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef WeightedCovarianceCalculator< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceEstimatorType |
Definition at line 78 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef WeightedCovarianceSampleFilter< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceEstimatorType |
Definition at line 78 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef CovarianceEstimatorType::OutputType itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceType |
Type of the covariance matrix
Definition at line 84 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef CovarianceEstimatorType::OutputType itk::Statistics::GaussianMixtureModelComponent< TSample >::CovarianceType |
Type of the covariance matrix
Definition at line 84 of file Review/Statistics/itkGaussianMixtureModelComponent.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 WeightedMeanCalculator< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanEstimatorType |
Types of the mean and the covariance calculator that will update this component's distribution parameters
Definition at line 77 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef WeightedMeanSampleFilter< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanEstimatorType |
Types of the mean and the covariance calculator that will update this component's distribution parameters
Definition at line 77 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef MeanEstimatorType::OutputType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanType |
Type of the mean vector
Definition at line 81 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef MeanEstimatorType::OutputType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeanType |
Type of the mean vector
Definition at line 81 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::MeasurementVectorSizeType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorSizeType |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 66 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::MeasurementVectorSizeType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorSizeType |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 66 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::MeasurementVectorType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorType |
Typedefs from the superclass
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 60 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::MeasurementVectorType itk::Statistics::GaussianMixtureModelComponent< TSample >::MeasurementVectorType |
Typedefs from the superclass
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 60 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::MembershipFunctionType itk::Statistics::GaussianMixtureModelComponent< TSample >::MembershipFunctionType |
typedef for the MembershipFunctionBase
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 67 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::MembershipFunctionType itk::Statistics::GaussianMixtureModelComponent< TSample >::MembershipFunctionType |
typedef for the MembershipFunctionBase
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 67 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef GaussianDensityFunction< MeasurementVectorType > itk::Statistics::GaussianMixtureModelComponent< TSample >::NativeMembershipFunctionType |
Type of the membership function. Gaussian density function
Definition at line 73 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef GaussianMembershipFunction< MeasurementVectorType > itk::Statistics::GaussianMixtureModelComponent< TSample >::NativeMembershipFunctionType |
Type of the membership function. Gaussian density function
Definition at line 73 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::ParametersType itk::Statistics::GaussianMixtureModelComponent< TSample >::ParametersType |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 69 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::ParametersType itk::Statistics::GaussianMixtureModelComponent< TSample >::ParametersType |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 69 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef SmartPointer<Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 55 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef SmartPointer<Self> itk::Statistics::GaussianMixtureModelComponent< TSample >::Pointer |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 55 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef GaussianMixtureModelComponent itk::Statistics::GaussianMixtureModelComponent< TSample >::Self |
Standard class typedefs.
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 53 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef GaussianMixtureModelComponent itk::Statistics::GaussianMixtureModelComponent< TSample >::Self |
Standard class typedefs.
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 53 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef MixtureModelComponentBase< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 54 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
typedef MixtureModelComponentBase< TSample > itk::Statistics::GaussianMixtureModelComponent< TSample >::Superclass |
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 54 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::WeightArrayType itk::Statistics::GaussianMixtureModelComponent< TSample >::WeightArrayType |
typedef of strorage for the weights
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 68 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
typedef Superclass::WeightArrayType itk::Statistics::GaussianMixtureModelComponent< TSample >::WeightArrayType |
typedef of strorage for the weights
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
Definition at line 68 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
itk::Statistics::GaussianMixtureModelComponent< TSample >::GaussianMixtureModelComponent | ( | ) | [protected] |
virtual itk::Statistics::GaussianMixtureModelComponent< TSample >::~GaussianMixtureModelComponent | ( | ) | [inline, protected, virtual] |
Definition at line 94 of file Numerics/Statistics/itkGaussianMixtureModelComponent.h.
itk::Statistics::GaussianMixtureModelComponent< TSample >::GaussianMixtureModelComponent | ( | ) | [protected] |
virtual itk::Statistics::GaussianMixtureModelComponent< TSample >::~GaussianMixtureModelComponent | ( | ) | [inline, protected, virtual] |
Definition at line 94 of file Review/Statistics/itkGaussianMixtureModelComponent.h.
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
void itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified | ( | bool | flag | ) | [inherited] |
sets the parameters modified tag. if one or more of the membership funtion's parameters are changed, then flag should be true
bool itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified | ( | ) | [inherited] |
returns the value of parameter modified tag
void itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified | ( | bool | flag | ) | [inherited] |
sets the parameters modified tag. if one or more of the membership funtion's parameters are changed, then flag should be true
bool itk::Statistics::MixtureModelComponentBase< TSample >::AreParametersModified | ( | ) | [inherited] |
returns the value of parameter modified tag
static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
double itk::Statistics::GaussianMixtureModelComponent< TSample >::CalculateParametersChange | ( | ) | [protected] |
Returns the sum of squared changes in parameters between iterations
double itk::Statistics::GaussianMixtureModelComponent< TSample >::CalculateParametersChange | ( | ) | [protected] |
Returns the sum of squared changes in parameters between iterations
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.
void itk::Statistics::MixtureModelComponentBase< TSample >::CreateWeightArray | ( | ) | [protected, inherited] |
allocates the weights array
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.
void itk::Statistics::MixtureModelComponentBase< TSample >::DeleteWeightArray | ( | ) | [protected, inherited] |
deallocates the weights array
double itk::Statistics::MixtureModelComponentBase< TSample >::Evaluate | ( | MeasurementVectorType & | measurements | ) | [inherited] |
returns the membership score of the "measurements" vector
double itk::Statistics::MixtureModelComponentBase< TSample >::Evaluate | ( | MeasurementVectorType & | measurements | ) | [inherited] |
returns the membership score of the "measurements" vector
void itk::Statistics::GaussianMixtureModelComponent< TSample >::GenerateData | ( | ) | [protected, virtual] |
Computes the new distribution parameters
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
void itk::Statistics::GaussianMixtureModelComponent< TSample >::GenerateData | ( | ) | [protected, virtual] |
Computes the new distribution parameters
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
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 ParametersType itk::Statistics::MixtureModelComponentBase< TSample >::GetFullParameters | ( | ) | [inline, virtual, inherited] |
Definition at line 100 of file Numerics/Statistics/itkMixtureModelComponentBase.h.
virtual ParametersType itk::Statistics::MixtureModelComponentBase< TSample >::GetFullParameters | ( | ) | [inline, virtual, inherited] |
Definition at line 102 of file Review/Statistics/itkMixtureModelComponentBase.h.
static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
MembershipFunctionType* itk::Statistics::MixtureModelComponentBase< TSample >::GetMembershipFunction | ( | ) | [inherited] |
returns the pointer to the membership function object. Subclasses of this class are responsible for creating the actual membership function objects and cast them to MembershipFunctionBase objects
MembershipFunctionType* itk::Statistics::MixtureModelComponentBase< TSample >::GetMembershipFunction | ( | ) | [inherited] |
returns the pointer to the membership function object. Subclasses of this class are responsible for creating the actual membership function objects and cast them to MembershipFunctionBase objects
MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
double itk::Statistics::MixtureModelComponentBase< TSample >::GetMinimalParametersChange | ( | ) | [inline, inherited] |
Definition at line 95 of file Numerics/Statistics/itkMixtureModelComponentBase.h.
double itk::Statistics::MixtureModelComponentBase< TSample >::GetMinimalParametersChange | ( | ) | [inline, inherited] |
Definition at line 95 of file Review/Statistics/itkMixtureModelComponentBase.h.
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::GaussianMixtureModelComponent< TSample >::GetNameOfClass | ( | ) | const [virtual] |
Standard Macros
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
virtual const char* itk::Statistics::GaussianMixtureModelComponent< TSample >::GetNameOfClass | ( | ) | const [virtual] |
Standard Macros
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
virtual int itk::LightObject::GetReferenceCount | ( | ) | const [inline, virtual, inherited] |
Gets the reference count on this object.
Definition at line 106 of file itkLightObject.h.
const TSample* itk::Statistics::MixtureModelComponentBase< TSample >::GetSample | ( | ) | const [inherited] |
returns the sample pointer
const TSample* itk::Statistics::MixtureModelComponentBase< TSample >::GetSample | ( | ) | const [inherited] |
returns the sample pointer
double itk::Statistics::MixtureModelComponentBase< TSample >::GetWeight | ( | unsigned int | index | ) | const [inherited] |
returns the index-th weight
double itk::Statistics::MixtureModelComponentBase< TSample >::GetWeight | ( | int | index | ) | [inherited] |
returns the index-th weight
virtual const WeightArrayType& itk::Statistics::MixtureModelComponentBase< TSample >::GetWeights | ( | ) | [virtual, inherited] |
returns the pointer to the weights array
WeightArrayType* itk::Statistics::MixtureModelComponentBase< TSample >::GetWeights | ( | ) | [inherited] |
returns the pointer to the weights array
static void itk::Object::GlobalWarningDisplayOff | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 100 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Definition at line 98 of file itkObject.h.
References itk::Object::SetGlobalWarningDisplay().
bool itk::Object::HasObserver | ( | const EventObject & | event | ) | const [inherited] |
Return true if an observer is registered for this event.
void itk::Object::InvokeEvent | ( | const EventObject & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
void itk::Object::InvokeEvent | ( | const EventObject & | ) | const [inherited] |
Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.
virtual void itk::Object::Modified | ( | ) | const [virtual, inherited] |
Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
static Pointer itk::Statistics::GaussianMixtureModelComponent< TSample >::New | ( | ) | [static] |
Standard Macros
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
static Pointer itk::Statistics::GaussianMixtureModelComponent< TSample >::New | ( | ) | [static] |
Standard Macros
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
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] |
void itk::Statistics::GaussianMixtureModelComponent< TSample >::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::MixtureModelComponentBase< TSample >.
void itk::Statistics::GaussianMixtureModelComponent< TSample >::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::MixtureModelComponentBase< TSample >.
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.
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::Statistics::MixtureModelComponentBase< TSample >::SetMembershipFunction | ( | MembershipFunctionType * | function | ) | [protected, inherited] |
stores the pointer to the membership function. subclasses use this funtion to store their membership function object after dynamic creation
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMembershipFunction | ( | MembershipFunctionType * | function | ) | [protected, inherited] |
stores the pointer to the membership function. subclasses use this funtion to store their membership function object after dynamic creation
void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMinimalParametersChange | ( | double | change | ) | [inline, inherited] |
Definition at line 90 of file Review/Statistics/itkMixtureModelComponentBase.h.
void itk::Statistics::MixtureModelComponentBase< TSample >::SetMinimalParametersChange | ( | double | change | ) | [inline, inherited] |
Definition at line 92 of file Numerics/Statistics/itkMixtureModelComponentBase.h.
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetParameters | ( | const ParametersType & | parameters | ) |
Sets the component's distribution parameters.
virtual void itk::Statistics::MixtureModelComponentBase< TSample >::SetParameters | ( | const ParametersType & | parameters | ) | [virtual, inherited] |
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetParameters | ( | const ParametersType & | parameters | ) |
Sets the component's distribution parameters.
virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetSample | ( | const TSample * | sample | ) | [virtual] |
Sets the input sample
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
void itk::Statistics::GaussianMixtureModelComponent< TSample >::SetSample | ( | const TSample * | sample | ) | [virtual] |
Sets the input sample
Reimplemented from itk::Statistics::MixtureModelComponentBase< TSample >.
void itk::Statistics::MixtureModelComponentBase< TSample >::SetWeight | ( | int | index, | |
double | value | |||
) | [inherited] |
sets the index-th weight with the "value"
void itk::Statistics::MixtureModelComponentBase< TSample >::SetWeight | ( | unsigned int | index, | |
double | value | |||
) | [inherited] |
sets the index-th weight with the "value"
virtual void itk::Object::UnRegister | ( | ) | const [virtual, inherited] |
Decrease the reference count (release by another object).
Reimplemented from itk::LightObject.
virtual void itk::Statistics::MixtureModelComponentBase< TSample >::Update | ( | ) | [virtual, inherited] |
virtual void itk::Statistics::MixtureModelComponentBase< TSample >::Update | ( | ) | [virtual, inherited] |
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.