#include <itkSingleValuedVnlCostFunctionAdaptorv4.h>

Detailed Description

This class is an Adaptor that allows to pass itk::ObjectToObjectMetricBase objects to vnl_optimizers expecting a vnl_cost_function. For use in the ITKv4 registration framework.

This class returns a single value.

Definition at line 37 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

Inheritance diagram for itk::SingleValuedVnlCostFunctionAdaptorv4:

Collaboration diagram for itk::SingleValuedVnlCostFunctionAdaptorv4:

Public Types
using	DerivativeType = ObjectToObjectMetricBase::DerivativeType

using	InternalDerivativeType = vnl_vector< InternalMeasureType >

using	InternalMeasureType = double

using	InternalParametersType = vnl_vector< InternalMeasureType >

using	MeasureType = ObjectToObjectMetricBase::MeasureType

using	ParametersType = ObjectToObjectMetricBase::ParametersType

using	ScalesType = OptimizerParameters< InternalMeasureType >

Public Member Functions
unsigned long	AddObserver (const EventObject &event, Command *) const

void	compute (const InternalParametersType &x, InternalMeasureType fun, InternalDerivativeType g) override

void	ConvertExternalToInternalGradient (const DerivativeType &input, InternalDerivativeType &output) const

InternalMeasureType	f (const InternalParametersType &inparameters) override

const ParametersType &	GetCachedCurrentParameters () const

virtual const DerivativeType &	GetCachedDerivative () const

virtual const MeasureType &	GetCachedValue () const

const ObjectToObjectMetricBase *	GetCostFunction () const

void	gradf (const InternalParametersType &inparameters, InternalDerivativeType &gradient) override

void	SetCostFunction (ObjectToObjectMetricBase *costFunction)

void	SetScales (const ScalesType &scales)

	SingleValuedVnlCostFunctionAdaptorv4 (unsigned int spaceDimension)

Protected Member Functions
void	ReportIteration (const EventObject &event) const

Private Attributes
DerivativeType	m_CachedDerivative {}

MeasureType	m_CachedValue {}

ObjectToObjectMetricBase::Pointer	m_ObjectMetric {}

Object::Pointer	m_Reporter {}

ScalesType	m_Scales {}

bool	m_ScalesInitialized {}

Member Typedef Documentation

◆ DerivativeType

using itk::SingleValuedVnlCostFunctionAdaptorv4::DerivativeType = ObjectToObjectMetricBase::DerivativeType

Derivatives of the SingleValuedCostFunction

Definition at line 54 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

◆ InternalDerivativeType

using itk::SingleValuedVnlCostFunctionAdaptorv4::InternalDerivativeType = vnl_vector<InternalMeasureType>

InternalGradientType type alias.

Definition at line 48 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

◆ InternalMeasureType

using itk::SingleValuedVnlCostFunctionAdaptorv4::InternalMeasureType = double

InternalMeasureType type alias.

Definition at line 42 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

◆ InternalParametersType

using itk::SingleValuedVnlCostFunctionAdaptorv4::InternalParametersType = vnl_vector<InternalMeasureType>

InternalParametersType type alias.

Definition at line 45 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

◆ MeasureType

using itk::SingleValuedVnlCostFunctionAdaptorv4::MeasureType = ObjectToObjectMetricBase::MeasureType

Type of the SingleValuedCostFunction value

Definition at line 57 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

◆ ParametersType

using itk::SingleValuedVnlCostFunctionAdaptorv4::ParametersType = ObjectToObjectMetricBase::ParametersType

Parameters of the SingleValuedCostFunction

Definition at line 51 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

◆ ScalesType

using itk::SingleValuedVnlCostFunctionAdaptorv4::ScalesType = OptimizerParameters<InternalMeasureType>

Scales type alias

Definition at line 60 of file itkSingleValuedVnlCostFunctionAdaptorv4.h.

Constructor & Destructor Documentation

◆ SingleValuedVnlCostFunctionAdaptorv4()

itk::SingleValuedVnlCostFunctionAdaptorv4::SingleValuedVnlCostFunctionAdaptorv4 ( unsigned int spaceDimension )

Constructor with size

Member Function Documentation

◆ AddObserver()

unsigned long itk::SingleValuedVnlCostFunctionAdaptorv4::AddObserver	(	const EventObject &	event,
		Command *
	)		const

This AddObserver method allows to simulate that this class derives from an itkObject for the purpose of reporting iteration events. The goal of this method is to allow ITK-vnl optimizer adaptors to get iteration events despite the fact that VNL does not provide callbacks.

◆ compute()

void itk::SingleValuedVnlCostFunctionAdaptorv4::compute	(	const InternalParametersType &	x,
		InternalMeasureType *	fun,
		InternalDerivativeType *	g
	)

override

Delegate computation of value and gradient to the costFunction.

◆ ConvertExternalToInternalGradient()

void itk::SingleValuedVnlCostFunctionAdaptorv4::ConvertExternalToInternalGradient	(	const DerivativeType &	input,
		InternalDerivativeType &	output
	)		const

Convert external derivative measures into internal type

◆ f()

InternalMeasureType itk::SingleValuedVnlCostFunctionAdaptorv4::f ( const InternalParametersType & inparameters )

override

Delegate computation of the value to the CostFunction.

◆ GetCachedCurrentParameters()

const ParametersType & itk::SingleValuedVnlCostFunctionAdaptorv4::GetCachedCurrentParameters ( ) const

Return the parameters directly from the assigned metric.

◆ GetCachedDerivative()

virtual const DerivativeType & itk::SingleValuedVnlCostFunctionAdaptorv4::GetCachedDerivative ( ) const

virtual

◆ GetCachedValue()

virtual const MeasureType & itk::SingleValuedVnlCostFunctionAdaptorv4::GetCachedValue ( ) const

virtual

Return the value of the last evaluation to the value of the cost function. Note that this method DOES NOT triggers a computation of the function or the derivatives, it only returns previous values. Therefore the values here are only valid after you invoke the f() or gradf() methods.