ITK  5.2.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members
itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel > Class Template Reference

#include <itkShapePriorMAPCostFunction.h>

+ Inheritance diagram for itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >:
+ Collaboration diagram for itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >:

Public Types

using ArrayType = Array< double >
 
using ConstPointer = SmartPointer< const Self >
 
using FeatureImagePointer = typename Superclass::FeatureImagePointer
 
using FeatureImageType = typename Superclass::FeatureImageType
 
using MeasureType = typename Superclass::MeasureType
 
using NodeContainerType = typename Superclass::NodeContainerType
 
using NodeType = typename Superclass::NodeType
 
using ParametersType = typename Superclass::ParametersType
 
using PixelType = typename Superclass::PixelType
 
using Pointer = SmartPointer< Self >
 
using Self = ShapePriorMAPCostFunction
 
using ShapeFunctionType = typename Superclass::ShapeFunctionType
 
using Superclass = ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >
 
- Public Types inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >
using ConstPointer = SmartPointer< const Self >
 
using DerivativeType = typename Superclass::DerivativeType
 
using FeatureImagePointer = typename FeatureImageType::ConstPointer
 
using FeatureImageType = TFeatureImage
 
using MeasureType = typename Superclass::MeasureType
 
using NodeContainerPointer = typename NodeContainerType::ConstPointer
 
using NodeContainerType = VectorContainer< unsigned int, NodeType >
 
using NodeType = LevelSetNode< PixelType, Self::ImageDimension >
 
using ParametersType = typename Superclass::ParametersType
 
using PixelType = TOutputPixel
 
using Pointer = SmartPointer< Self >
 
using Self = ShapePriorMAPCostFunctionBase
 
using ShapeFunctionPointer = typename ShapeFunctionType::Pointer
 
using ShapeFunctionType = ShapeSignedDistanceFunction< double, Self::ImageDimension >
 
using Superclass = SingleValuedCostFunction
 
- Public Types inherited from itk::SingleValuedCostFunction
using ConstPointer = SmartPointer< const Self >
 
using DerivativeType = Array< ParametersValueType >
 
using MeasureType = double
 
using ParametersType = Superclass::ParametersType
 
using ParametersValueType = Superclass::ParametersValueType
 
using Pointer = SmartPointer< Self >
 
using Self = SingleValuedCostFunction
 
using Superclass = CostFunction
 
- Public Types inherited from itk::CostFunctionTemplate< TInternalComputationValueType >
using ConstPointer = SmartPointer< const Self >
 
using ParametersType = OptimizerParameters< TInternalComputationValueType >
 
using ParametersValueType = TInternalComputationValueType
 
using Pointer = SmartPointer< Self >
 
using Self = CostFunctionTemplate
 
using Superclass = Object
 
- Public Types inherited from itk::Object
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = Object
 
using Superclass = LightObject
 
- Public Types inherited from itk::LightObject
using ConstPointer = SmartPointer< const Self >
 
using Pointer = SmartPointer< Self >
 
using Self = LightObject
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
- Public Member Functions inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >
virtual void SetShapeFunction (ShapeFunctionType *_arg)
 
virtual ShapeFunctionTypeGetModifiableShapeFunction ()
 
virtual const ShapeFunctionTypeGetShapeFunction () const
 
virtual void SetActiveRegion (const NodeContainerType *_arg)
 
virtual const NodeContainerTypeGetActiveRegion () const
 
virtual void SetFeatureImage (const FeatureImageType *_arg)
 
virtual const FeatureImageTypeGetFeatureImage () const
 
MeasureType GetValue (const ParametersType &parameters) const override
 
void GetDerivative (const ParametersType &, DerivativeType &) const override
 
unsigned int GetNumberOfParameters () const override
 
- Public Member Functions inherited from itk::SingleValuedCostFunction
virtual void GetValueAndDerivative (const ParametersType &parameters, MeasureType &value, DerivativeType &derivative) const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
unsigned long AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static constexpr unsigned int ImageDimension = TFeatureImage::ImageDimension
 
- Static Public Attributes inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >
static constexpr unsigned int ImageDimension = TFeatureImage::ImageDimension
 
using WeightsType = FixedArray< double, 4 >
 
ArrayType m_ShapeParameterMeans
 
ArrayType m_ShapeParameterStandardDeviations
 
WeightsType m_Weights
 
GaussianKernelFunction< double >::Pointer m_GaussianFunction
 
virtual void SetShapeParameterMeans (ArrayType _arg)
 
virtual ArrayType GetShapeParameterMeans () const
 
virtual void SetShapeParameterStandardDeviations (ArrayType _arg)
 
virtual ArrayType GetShapeParameterStandardDeviations () const
 
virtual void SetWeights (WeightsType _arg)
 
virtual const WeightsTypeGetWeights () const
 
MeasureType ComputeLogInsideTerm (const ParametersType &parameters) const override
 
MeasureType ComputeLogGradientTerm (const ParametersType &parameters) const override
 
MeasureType ComputeLogShapePriorTerm (const ParametersType &parameters) const override
 
MeasureType ComputeLogPosePriorTerm (const ParametersType &parameters) const override
 
void Initialize () override
 
 ShapePriorMAPCostFunction ()
 
 ~ShapePriorMAPCostFunction () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 

Additional Inherited Members

- Protected Member Functions inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >
 ShapePriorMAPCostFunctionBase ()
 
 ~ShapePriorMAPCostFunctionBase () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
- Protected Member Functions inherited from itk::SingleValuedCostFunction
 SingleValuedCostFunction ()=default
 
 ~SingleValuedCostFunction () override
 
- Protected Member Functions inherited from itk::CostFunctionTemplate< TInternalComputationValueType >
 CostFunctionTemplate ()=default
 
 ~CostFunctionTemplate () override=default
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer InternalClone () const
 
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 
- Protected Attributes inherited from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >
ShapeFunctionPointer m_ShapeFunction
 
NodeContainerPointer m_ActiveRegion
 
FeatureImagePointer m_FeatureImage
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

template<typename TFeatureImage, typename TOutputPixel>
class itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >

Represents the maximum aprior (MAP) cost function used ShapePriorSegmentationLevelSetImageFilter to estimate the shape parameters.

This class follows the shape and pose parameters estimation developed in [1]. Note that this class returns the negative log of the MAP function. Using the negative function make this cost function compatible with generic optimizers which seeks the minimum of a cost function.

This class has two template parameters, the feature image type representing the edge potential map and the pixel type used to represent the output level set in the ShapePriorSegmentationLevelSetImageFilter.

See also
ShapePriorSegmentationLevelSetImageFilter
REFERENCES
[1] Leventon, M.E. et al. "Statistical Shape Influence in Geodesic Active Contours", CVPR 2000.
Examples
Examples/Segmentation/GeodesicActiveContourShapePriorLevelSetImageFilter.cxx.

Definition at line 50 of file itkShapePriorMAPCostFunction.h.

Member Typedef Documentation

◆ ArrayType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ArrayType = Array<double>

Type of the array for storing shape parameter mean and standard deviation. FIXME: should be templated.

Definition at line 96 of file itkShapePriorMAPCostFunction.h.

◆ ConstPointer

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ConstPointer = SmartPointer<const Self>

Definition at line 59 of file itkShapePriorMAPCostFunction.h.

◆ FeatureImagePointer

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::FeatureImagePointer = typename Superclass::FeatureImagePointer

Definition at line 73 of file itkShapePriorMAPCostFunction.h.

◆ FeatureImageType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::FeatureImageType = typename Superclass::FeatureImageType

Type of the feature image representing the edge potential map.

Definition at line 72 of file itkShapePriorMAPCostFunction.h.

◆ MeasureType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::MeasureType = typename Superclass::MeasureType

Type of the return measure value.

Definition at line 76 of file itkShapePriorMAPCostFunction.h.

◆ NodeContainerType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::NodeContainerType = typename Superclass::NodeContainerType

Type of container used to store the level set nodes.

Definition at line 88 of file itkShapePriorMAPCostFunction.h.

◆ NodeType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::NodeType = typename Superclass::NodeType

Type of node used to represent the active region around the zero set.

Definition at line 85 of file itkShapePriorMAPCostFunction.h.

◆ ParametersType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ParametersType = typename Superclass::ParametersType

ParametersType type alias. It defines a position in the optimization search space.

Definition at line 69 of file itkShapePriorMAPCostFunction.h.

◆ PixelType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::PixelType = typename Superclass::PixelType

Type of pixel used to represent the level set.

Definition at line 82 of file itkShapePriorMAPCostFunction.h.

◆ Pointer

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Pointer = SmartPointer<Self>

Definition at line 58 of file itkShapePriorMAPCostFunction.h.

◆ Self

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Self = ShapePriorMAPCostFunction

Standard class type aliases.

Definition at line 56 of file itkShapePriorMAPCostFunction.h.

◆ ShapeFunctionType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapeFunctionType = typename Superclass::ShapeFunctionType

Type of the shape signed distance function.

Definition at line 91 of file itkShapePriorMAPCostFunction.h.

◆ Superclass

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Superclass = ShapePriorMAPCostFunctionBase<TFeatureImage, TOutputPixel>

Definition at line 57 of file itkShapePriorMAPCostFunction.h.

◆ WeightsType

template<typename TFeatureImage , typename TOutputPixel >
using itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::WeightsType = FixedArray<double, 4>

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Definition at line 112 of file itkShapePriorMAPCostFunction.h.

Constructor & Destructor Documentation

◆ ShapePriorMAPCostFunction()

template<typename TFeatureImage , typename TOutputPixel >
itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ShapePriorMAPCostFunction ( )
protected

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

◆ ~ShapePriorMAPCostFunction()

template<typename TFeatureImage , typename TOutputPixel >
itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::~ShapePriorMAPCostFunction ( )
overrideprotecteddefault

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Member Function Documentation

◆ ComputeLogGradientTerm()

template<typename TFeatureImage , typename TOutputPixel >
MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogGradientTerm ( const ParametersType parameters) const
overridevirtual

Compute the gradient term component of the MAP cost function. In particular, this method assume that ( 1 - FeatureImage ) approximates a Gaussian (zero mean, unit variance) algon the normal of the evolving contour. The gradient term is then given by a Laplacian of the goodness of fit of the Gaussian.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

◆ ComputeLogInsideTerm()

template<typename TFeatureImage , typename TOutputPixel >
MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogInsideTerm ( const ParametersType parameters) const
overridevirtual

Compute the inside term component of the MAP cost function. In particular, the method sums the number of pixels inside the current contour (defined by nodes of the active region that are less than zero) which are outside the shape specified by the input parameters.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

◆ ComputeLogPosePriorTerm()

template<typename TFeatureImage , typename TOutputPixel >
MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogPosePriorTerm ( const ParametersType parameters) const
overridevirtual

Compute the pose prior component of the MAP cost function. In particular, this method assumes that the pose parameters are uniformly distributed and returns a constant of zero.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

◆ ComputeLogShapePriorTerm()

template<typename TFeatureImage , typename TOutputPixel >
MeasureType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ComputeLogShapePriorTerm ( const ParametersType parameters) const
overridevirtual

Compute the shape prior component of the MAP cost function. In particular, the method assumes that the shape parameters comes from independent Gaussian distributions defined by the ShapeParameterMeans and ShapeParameterVariances array.

Implements itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

◆ CreateAnother()

template<typename TFeatureImage , typename TOutputPixel >
virtual::itk::LightObject::Pointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::CreateAnother ( ) 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.

◆ GetNameOfClass()

template<typename TFeatureImage , typename TOutputPixel >
virtual const char* itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

◆ GetShapeParameterMeans()

template<typename TFeatureImage , typename TOutputPixel >
virtual ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetShapeParameterMeans ( ) const
virtual

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

◆ GetShapeParameterStandardDeviations()

template<typename TFeatureImage , typename TOutputPixel >
virtual ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetShapeParameterStandardDeviations ( ) const
virtual

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

◆ GetWeights()

template<typename TFeatureImage , typename TOutputPixel >
virtual const WeightsType& itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::GetWeights ( ) const
virtual

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

◆ Initialize()

template<typename TFeatureImage , typename TOutputPixel >
void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::Initialize ( )
overridevirtual

Initialize the cost function by making sure that all the components are present.

Reimplemented from itk::ShapePriorMAPCostFunctionBase< TFeatureImage, TOutputPixel >.

◆ New()

template<typename TFeatureImage , typename TOutputPixel >
static Pointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TFeatureImage , typename TOutputPixel >
void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Reimplemented from itk::CostFunctionTemplate< TInternalComputationValueType >.

◆ SetShapeParameterMeans()

template<typename TFeatureImage , typename TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::SetShapeParameterMeans ( ArrayType  _arg)
virtual

Set/Get the array of shape parameters mean.

◆ SetShapeParameterStandardDeviations()

template<typename TFeatureImage , typename TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::SetShapeParameterStandardDeviations ( ArrayType  _arg)
virtual

Set/Get the array of shape parameters standard deviation.

◆ SetWeights()

template<typename TFeatureImage , typename TOutputPixel >
virtual void itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::SetWeights ( WeightsType  _arg)
virtual

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Member Data Documentation

◆ ImageDimension

template<typename TFeatureImage , typename TOutputPixel >
constexpr unsigned int itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::ImageDimension = TFeatureImage::ImageDimension
staticconstexpr

Dimension constant.

Definition at line 79 of file itkShapePriorMAPCostFunction.h.

◆ m_GaussianFunction

template<typename TFeatureImage , typename TOutputPixel >
GaussianKernelFunction<double>::Pointer itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_GaussianFunction
private

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Definition at line 163 of file itkShapePriorMAPCostFunction.h.

◆ m_ShapeParameterMeans

template<typename TFeatureImage , typename TOutputPixel >
ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_ShapeParameterMeans
private

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Definition at line 159 of file itkShapePriorMAPCostFunction.h.

◆ m_ShapeParameterStandardDeviations

template<typename TFeatureImage , typename TOutputPixel >
ArrayType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_ShapeParameterStandardDeviations
private

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Definition at line 160 of file itkShapePriorMAPCostFunction.h.

◆ m_Weights

template<typename TFeatureImage , typename TOutputPixel >
WeightsType itk::ShapePriorMAPCostFunction< TFeatureImage, TOutputPixel >::m_Weights
private

Set/Get the weights for each term. Default is a vector of all ones. The weights are applied to terms in the following order: LogInsideTerm, LogGradientTerm, LogShapePriorTerm and LogPosePriorTerm.

Definition at line 161 of file itkShapePriorMAPCostFunction.h.


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