#include <itkExhaustiveOptimizer.h>

Detailed Description

Optimizer that fully samples a grid on the parametric space.

This optimizer is equivalent to an exhaustive search in a discrete grid defined over the parametric space. The grid is centered on the initial position. The subdivisions of the grid along each one of the dimensions of the parametric space is defined by an array of number of steps.

A typical use is to plot the metric space to get an idea of how noisy it is. An example is given below, where it is desired to plot the metric space with respect to translations along x, y and z in a 3D registration application: Here it is assumed that the transform is TranslationTransform.

OptimizerType::StepsType steps( m_Transform->GetNumberOfParameters() );
steps[0] = 10;
steps[1] = 10;
steps[2] = 10;
m_Optimizer->SetNumberOfSteps( steps );
m_Optimizer->SetStepLength( 2 );

The optimizer throws IterationEvents after every iteration. We use this to plot the metric space in an image as follows:

if( itk::IterationEvent().CheckEvent(& event ) )
{
  IndexType index;
  index[0] = m_Optimizer->GetCurrentIndex()[0];
  index[1] = m_Optimizer->GetCurrentIndex()[1];
  index[2] = m_Optimizer->GetCurrentIndex()[2];
  image->SetPixel( index, m_Optimizer->GetCurrentValue() );
}

The image size is expected to be 11 x 11 x 11.

If you wish to use different step lengths along each parametric axis, you can use the SetScales() method. This accepts an array, each element represents the number of subdivisions per step length. For instance scales of [0.5 1 4] along with a step length of 2 will cause the optimizer to search the metric space on a grid with x,y,z spacing of [1 2 8].

The number of samples for each dimension of the parameter grid are influenced by both the scales and the number of steps along each dimension:

parameter_samples[d] = stepLength*(2*numberOfSteps[d]+1)*scaling[d]

start_parameter[d] = - stepLength * scaling[d] * numberOfSteps[d] end_parameter[d] = + stepLength * scaling[d] * numberOfSteps[d]

ITK Sphinx Examples:

All ITK Sphinx Examples

Exhaustive Optimizer

Definition at line 88 of file itkExhaustiveOptimizer.h.

Inheritance diagram for itk::ExhaustiveOptimizer:

Collaboration diagram for itk::ExhaustiveOptimizer:

Public Types
using	ConstPointer = SmartPointer< const Self >

using	Pointer = SmartPointer< Self >

using	Self = ExhaustiveOptimizer

using	StepsType = Array< SizeValueType >

using	Superclass = SingleValuedNonLinearOptimizer

Public Types inherited from itk::SingleValuedNonLinearOptimizer
using	ConstPointer = SmartPointer< const Self >

using	CostFunctionPointer = CostFunctionType::Pointer

using	CostFunctionType = SingleValuedCostFunction

using	DerivativeType = CostFunctionType::DerivativeType

using	MeasureType = CostFunctionType::MeasureType

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	Self = SingleValuedNonLinearOptimizer

using	Superclass = NonLinearOptimizer

Public Types inherited from itk::NonLinearOptimizer
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = Superclass::ParametersType

using	Pointer = SmartPointer< Self >

using	ScalesType = Superclass::ScalesType

using	Self = NonLinearOptimizer

using	Superclass = Optimizer

Public Types inherited from itk::Optimizer
using	ConstPointer = SmartPointer< const Self >

using	ParametersType = OptimizerParameters< double >

using	Pointer = SmartPointer< Self >

using	ScalesType = Array< double >

using	Self = Optimizer

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 const ParametersType &	GetCurrentIndex () const

virtual const MeasureType &	GetCurrentValue () const

virtual const MeasureType &	GetMaximumMetricValue () const

virtual const ParametersType &	GetMaximumMetricValuePosition () const

virtual const SizeValueType &	GetMaximumNumberOfIterations () const

virtual const MeasureType &	GetMinimumMetricValue () const

virtual const ParametersType &	GetMinimumMetricValuePosition () const

const char *	GetNameOfClass () const override

virtual const StepsType &	GetNumberOfSteps () const

virtual const double &	GetStepLength () const

const std::string	GetStopConditionDescription () const override

void	ResumeWalking ()

virtual void	SetNumberOfSteps (StepsType _arg)

virtual void	SetStepLength (double _arg)

void	StartOptimization () override

void	StartWalking ()

void	StopWalking ()

Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual CostFunctionType *	GetModifiableCostFunction ()

const char *	GetNameOfClass () const override

MeasureType	GetValue (const ParametersType &parameters) const

virtual void	SetCostFunction (CostFunctionType *costFunction)

Public Member Functions inherited from itk::Optimizer
virtual const ParametersType &	GetCurrentPosition () const

virtual const ParametersType &	GetInitialPosition () const

virtual void	SetInitialPosition (const ParametersType &param)

void	SetScales (const ScalesType &scales)

virtual const ScalesType &	GetScales () const

virtual const ScalesType &	GetInverseScales () 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

LightObject::Pointer	CreateAnother () const override

virtual void	DebugOff () const

virtual void	DebugOn () const

Command *	GetCommand (unsigned long tag)

bool	GetDebug () const

MetaDataDictionary &	GetMetaDataDictionary ()

const MetaDataDictionary &	GetMetaDataDictionary () const

virtual ModifiedTimeType	GetMTime () const

virtual const TimeStamp &	GetTimeStamp () 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
Pointer	Clone () const

virtual void	Delete ()

virtual int	GetReferenceCount () const

void	Print (std::ostream &os, Indent indent=0) const

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::NonLinearOptimizer
static Pointer	New ()

Static Public Member Functions inherited from itk::Optimizer
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 val)

Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

static Pointer	New ()

Protected Member Functions
void	AdvanceOneStep ()

	ExhaustiveOptimizer ()

void	IncrementIndex (ParametersType &newPosition)

void	PrintSelf (std::ostream &os, Indent indent) const override

	~ExhaustiveOptimizer () override=default

Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
void	PrintSelf (std::ostream &os, Indent indent) const override

	SingleValuedNonLinearOptimizer ()

	~SingleValuedNonLinearOptimizer () override=default

Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()=default

	~NonLinearOptimizer () override

Protected Member Functions inherited from itk::Optimizer
	Optimizer ()

virtual void	SetCurrentPosition (const ParametersType &param)

	~Optimizer () override=default

Protected Member Functions inherited from itk::Object
	Object ()

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

	~Object () override

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
ParametersType	m_CurrentIndex {}

SizeValueType	m_CurrentIteration { 0 }

unsigned int	m_CurrentParameter { 0 }

MeasureType	m_CurrentValue { 0 }

MeasureType	m_MaximumMetricValue { itk::NumericTraits<MeasureType>::max() }

ParametersType	m_MaximumMetricValuePosition {}

SizeValueType	m_MaximumNumberOfIterations { 1 }

MeasureType	m_MinimumMetricValue { itk::NumericTraits<MeasureType>::Zero }

ParametersType	m_MinimumMetricValuePosition {}

StepsType	m_NumberOfSteps {}

double	m_StepLength { 1.0 }

bool	m_Stop { false }

Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer
CostFunctionPointer	m_CostFunction {}

Protected Attributes inherited from itk::Optimizer
ParametersType	m_CurrentPosition {}

bool	m_ScalesInitialized { false }

Protected Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount {}

Private Attributes
std::ostringstream	m_StopConditionDescription {}

Member Typedef Documentation

◆ ConstPointer

using itk::ExhaustiveOptimizer::ConstPointer = SmartPointer<const Self>

Definition at line 97 of file itkExhaustiveOptimizer.h.

◆ Pointer

using itk::ExhaustiveOptimizer::Pointer = SmartPointer<Self>

Definition at line 96 of file itkExhaustiveOptimizer.h.

◆ Self

using itk::ExhaustiveOptimizer::Self = ExhaustiveOptimizer

Standard "Self" type alias.

Definition at line 94 of file itkExhaustiveOptimizer.h.

◆ StepsType

using itk::ExhaustiveOptimizer::StepsType = Array<SizeValueType>

Definition at line 99 of file itkExhaustiveOptimizer.h.

◆ Superclass

using itk::ExhaustiveOptimizer::Superclass = SingleValuedNonLinearOptimizer

Definition at line 95 of file itkExhaustiveOptimizer.h.

Constructor & Destructor Documentation

◆ ExhaustiveOptimizer()

itk::ExhaustiveOptimizer::ExhaustiveOptimizer ( )

protected

◆ ~ExhaustiveOptimizer()

itk::ExhaustiveOptimizer::~ExhaustiveOptimizer ( )

overrideprotecteddefault

Member Function Documentation

◆ AdvanceOneStep()

void itk::ExhaustiveOptimizer::AdvanceOneStep ( )

protected

Advance to the next grid position.

◆ GetCurrentIndex()

virtual const ParametersType& itk::ExhaustiveOptimizer::GetCurrentIndex ( ) const

virtual

◆ GetCurrentValue()

virtual const MeasureType& itk::ExhaustiveOptimizer::GetCurrentValue ( ) const

virtual

◆ GetMaximumMetricValue()

virtual const MeasureType& itk::ExhaustiveOptimizer::GetMaximumMetricValue ( ) const

virtual

◆ GetMaximumMetricValuePosition()

virtual const ParametersType& itk::ExhaustiveOptimizer::GetMaximumMetricValuePosition ( ) const

virtual

◆ GetMaximumNumberOfIterations()

virtual const SizeValueType& itk::ExhaustiveOptimizer::GetMaximumNumberOfIterations ( ) const

virtual

◆ GetMinimumMetricValue()

virtual const MeasureType& itk::ExhaustiveOptimizer::GetMinimumMetricValue ( ) const

virtual

◆ GetMinimumMetricValuePosition()

virtual const ParametersType& itk::ExhaustiveOptimizer::GetMinimumMetricValuePosition ( ) const

virtual

◆ GetNameOfClass()

const char* itk::ExhaustiveOptimizer::GetNameOfClass ( ) const

overridevirtual

See also: LightObject::GetNameOfClass()

Reimplemented from itk::Object.

◆ GetNumberOfSteps()

virtual const StepsType& itk::ExhaustiveOptimizer::GetNumberOfSteps ( ) const

virtual

◆ GetStepLength()

virtual const double& itk::ExhaustiveOptimizer::GetStepLength ( ) const

virtual

◆ GetStopConditionDescription()

const std::string itk::ExhaustiveOptimizer::GetStopConditionDescription ( ) const

overridevirtual

Get the reason for termination

Reimplemented from itk::Optimizer.

◆ IncrementIndex()

void itk::ExhaustiveOptimizer::IncrementIndex ( ParametersType & newPosition )

protected

◆ New()

static Pointer itk::ExhaustiveOptimizer::New ( )

static

Method for creation through the object factory.

◆ PrintSelf()

void itk::ExhaustiveOptimizer::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)		const

overrideprotectedvirtual

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::Object.

◆ ResumeWalking()

void itk::ExhaustiveOptimizer::ResumeWalking ( )

Resume optimization.

◆ SetNumberOfSteps()

virtual void itk::ExhaustiveOptimizer::SetNumberOfSteps ( StepsType _arg )

virtual

◆ SetStepLength()

virtual void itk::ExhaustiveOptimizer::SetStepLength ( double _arg )

virtual

◆ StartOptimization()

void itk::ExhaustiveOptimizer::StartOptimization ( )

overridevirtual

Start optimization.

Reimplemented from itk::Optimizer.

◆ StartWalking()

void itk::ExhaustiveOptimizer::StartWalking ( )

◆ StopWalking()

void itk::ExhaustiveOptimizer::StopWalking ( )

Stop optimization.

Member Data Documentation

◆ m_CurrentIndex

ParametersType itk::ExhaustiveOptimizer::m_CurrentIndex {}

protected

Definition at line 163 of file itkExhaustiveOptimizer.h.

◆ m_CurrentIteration

SizeValueType itk::ExhaustiveOptimizer::m_CurrentIteration { 0 }

protected

Definition at line 155 of file itkExhaustiveOptimizer.h.

◆ m_CurrentParameter

unsigned int itk::ExhaustiveOptimizer::m_CurrentParameter { 0 }

protected

Definition at line 159 of file itkExhaustiveOptimizer.h.

◆ m_CurrentValue

MeasureType itk::ExhaustiveOptimizer::m_CurrentValue { 0 }

protected

Definition at line 151 of file itkExhaustiveOptimizer.h.

◆ m_MaximumMetricValue

MeasureType itk::ExhaustiveOptimizer::m_MaximumMetricValue { itk::NumericTraits<MeasureType>::max() }

protected

Definition at line 167 of file itkExhaustiveOptimizer.h.

◆ m_MaximumMetricValuePosition

ParametersType itk::ExhaustiveOptimizer::m_MaximumMetricValuePosition {}

protected

Definition at line 173 of file itkExhaustiveOptimizer.h.

◆ m_MaximumNumberOfIterations

SizeValueType itk::ExhaustiveOptimizer::m_MaximumNumberOfIterations { 1 }

protected

Definition at line 165 of file itkExhaustiveOptimizer.h.

◆ m_MinimumMetricValue

MeasureType itk::ExhaustiveOptimizer::m_MinimumMetricValue { itk::NumericTraits<MeasureType>::Zero }

protected

Definition at line 169 of file itkExhaustiveOptimizer.h.

◆ m_MinimumMetricValuePosition

ParametersType itk::ExhaustiveOptimizer::m_MinimumMetricValuePosition {}

protected

Definition at line 171 of file itkExhaustiveOptimizer.h.

◆ m_NumberOfSteps

StepsType itk::ExhaustiveOptimizer::m_NumberOfSteps {}

protected

Definition at line 153 of file itkExhaustiveOptimizer.h.

◆ m_StepLength

double itk::ExhaustiveOptimizer::m_StepLength { 1.0 }

protected

Definition at line 161 of file itkExhaustiveOptimizer.h.

◆ m_Stop

bool itk::ExhaustiveOptimizer::m_Stop { false }

protected

Definition at line 157 of file itkExhaustiveOptimizer.h.

◆ m_StopConditionDescription

std::ostringstream itk::ExhaustiveOptimizer::m_StopConditionDescription {}

private

Definition at line 176 of file itkExhaustiveOptimizer.h.

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

itkExhaustiveOptimizer.h

Detailed Description

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Private Attributes

Member Typedef Documentation

◆ ConstPointer

◆ Pointer

◆ Self

◆ StepsType

◆ Superclass

Constructor & Destructor Documentation

◆ ExhaustiveOptimizer()

◆ ~ExhaustiveOptimizer()

Member Function Documentation

◆ AdvanceOneStep()

◆ GetCurrentIndex()

◆ GetCurrentValue()

◆ GetMaximumMetricValue()

◆ GetMaximumMetricValuePosition()

◆ GetMaximumNumberOfIterations()

◆ GetMinimumMetricValue()

◆ GetMinimumMetricValuePosition()

◆ GetNameOfClass()

◆ GetNumberOfSteps()

◆ GetStepLength()

◆ GetStopConditionDescription()

◆ IncrementIndex()

◆ New()

◆ PrintSelf()

◆ ResumeWalking()

◆ SetNumberOfSteps()

◆ SetStepLength()

◆ StartOptimization()

◆ StartWalking()

◆ StopWalking()

Member Data Documentation

◆ m_CurrentIndex

◆ m_CurrentIteration

◆ m_CurrentParameter

◆ m_CurrentValue

◆ m_MaximumMetricValue

◆ m_MaximumMetricValuePosition

◆ m_MaximumNumberOfIterations

◆ m_MinimumMetricValue

◆ m_MinimumMetricValuePosition

◆ m_NumberOfSteps

◆ m_StepLength

◆ m_Stop

◆ m_StopConditionDescription