itk::ExhaustiveOptimizer Class Reference

#include <itkExhaustiveOptimizer.h>

Inheritance diagram for itk::ExhaustiveOptimizer:

Collaboration diagram for itk::ExhaustiveOptimizer:

Detailed Description

Optimizer that fully samples a grid on the parametric space.

This optimizer is equivalent to an exahaustive 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 Euler3DTransform.

*  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].

Physical dimensions of the grid are influenced by both the scales and the number of steps along each dimension, a side of the region is stepLength*(2*numberOfSteps[d]+1)*scaling[d].

Definition at line 79 of file itkExhaustiveOptimizer.h.

Public Types
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef ExhaustiveOptimizer	Self
typedef Array< SizeValueType >	StepsType
typedef SingleValuedNonLinearOptimizer	Superclass
Public Types inherited from itk::SingleValuedNonLinearOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef CostFunctionType::Pointer	CostFunctionPointer
typedef SingleValuedCostFunction	CostFunctionType
typedef CostFunctionType::DerivativeType	DerivativeType
typedef CostFunctionType::MeasureType	MeasureType
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef SingleValuedNonLinearOptimizer	Self
typedef NonLinearOptimizer	Superclass
Public Types inherited from itk::NonLinearOptimizer
typedef SmartPointer< const Self >	ConstPointer
typedef Superclass::ParametersType	ParametersType
typedef SmartPointer< Self >	Pointer
typedef Superclass::ScalesType	ScalesType
typedef NonLinearOptimizer	Self
typedef Optimizer	Superclass
Public Types inherited from itk::Optimizer
typedef SmartPointer< const Self >	ConstPointer
typedef OptimizerParameters < double >	ParametersType
typedef SmartPointer< Self >	Pointer
typedef Array< double >	ScalesType
typedef Optimizer	Self
typedef Object	Superclass
Public Types inherited from itk::Object
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef Object	Self
typedef LightObject	Superclass
Public Types inherited from itk::LightObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
typedef LightObject	Self

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother () const
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
virtual const char *	GetNameOfClass () const
virtual const StepsType &	GetNumberOfSteps () const
virtual const double &	GetStepLength () const
virtual const std::string	GetStopConditionDescription () const override
void	ResumeWalking ()
virtual void	SetNumberOfSteps (StepsType _arg)
virtual void	SetStepLength (double _arg)
virtual void	StartOptimization (void) override
void	StartWalking ()
void	StopWalking ()
Public Member Functions inherited from itk::SingleValuedNonLinearOptimizer
virtual ::itk::LightObject::Pointer	CreateAnother () const
virtual const CostFunctionType *	GetCostFunction () const
virtual CostFunctionType *	GetModifiableCostFunction ()
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
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
virtual void	Register () const override
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int) override
virtual void	UnRegister () const noexceptoverride
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::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 flag)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()
static Pointer	New ()

Protected Member Functions
void	AdvanceOneStep ()
	ExhaustiveOptimizer ()
void	IncrementIndex (ParametersType &param)
virtual void	PrintSelf (std::ostream &os, Indent indent) const override
virtual	~ExhaustiveOptimizer ()
Protected Member Functions inherited from itk::SingleValuedNonLinearOptimizer
	SingleValuedNonLinearOptimizer ()
virtual	~SingleValuedNonLinearOptimizer ()
Protected Member Functions inherited from itk::NonLinearOptimizer
	NonLinearOptimizer ()
virtual	~NonLinearOptimizer ()
Protected Member Functions inherited from itk::Optimizer
	Optimizer ()
virtual void	SetCurrentPosition (const ParametersType &param)
virtual	~Optimizer ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
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
unsigned int	m_CurrentParameter
MeasureType	m_CurrentValue
MeasureType	m_MaximumMetricValue
ParametersType	m_MaximumMetricValuePosition
SizeValueType	m_MaximumNumberOfIterations
MeasureType	m_MinimumMetricValue
ParametersType	m_MinimumMetricValuePosition
StepsType	m_NumberOfSteps
double	m_StepLength
bool	m_Stop
Protected Attributes inherited from itk::SingleValuedNonLinearOptimizer
CostFunctionPointer	m_CostFunction
Protected Attributes inherited from itk::Optimizer
ParametersType	m_CurrentPosition
bool	m_ScalesInitialized
Protected Attributes inherited from itk::LightObject
AtomicInt< int >	m_ReferenceCount

Private Member Functions
	ExhaustiveOptimizer (const Self &) ITK_DELETE_FUNCTION
void	operator= (const Self &) ITK_DELETE_FUNCTION

Private Attributes
std::ostringstream	m_StopConditionDescription

Member Typedef Documentation

typedef SmartPointer< const Self > itk::ExhaustiveOptimizer::ConstPointer

Definition at line 87 of file itkExhaustiveOptimizer.h.

typedef SmartPointer< Self > itk::ExhaustiveOptimizer::Pointer

Definition at line 86 of file itkExhaustiveOptimizer.h.

typedef ExhaustiveOptimizer itk::ExhaustiveOptimizer::Self

Standard "Self" typedef.

Definition at line 84 of file itkExhaustiveOptimizer.h.

typedef Array< SizeValueType > itk::ExhaustiveOptimizer::StepsType

Definition at line 89 of file itkExhaustiveOptimizer.h.

typedef SingleValuedNonLinearOptimizer itk::ExhaustiveOptimizer::Superclass

Definition at line 85 of file itkExhaustiveOptimizer.h.

Constructor & Destructor Documentation

itk::ExhaustiveOptimizer::ExhaustiveOptimizer ( )

protected

virtual itk::ExhaustiveOptimizer::~ExhaustiveOptimizer ( )

inlineprotectedvirtual

Definition at line 121 of file itkExhaustiveOptimizer.h.

itk::ExhaustiveOptimizer::ExhaustiveOptimizer ( const Self &  )

private

Member Function Documentation

void itk::ExhaustiveOptimizer::AdvanceOneStep ( )

protected

Advance to the next grid position.

virtual::itk::LightObject::Pointer itk::ExhaustiveOptimizer::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.

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

virtual

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

virtual

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

virtual

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

virtual

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

virtual

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

virtual

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

virtual

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

virtual

Run-time type information (and related methods).

Reimplemented from itk::SingleValuedNonLinearOptimizer.

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

virtual

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

virtual

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

overridevirtual

Get the reason for termination

Reimplemented from itk::Optimizer.

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

protected

static Pointer itk::ExhaustiveOptimizer::New ( )

static

Method for creation through the object factory.

void itk::ExhaustiveOptimizer::operator= ( const Self &  )

private

virtual 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::SingleValuedNonLinearOptimizer.

void itk::ExhaustiveOptimizer::ResumeWalking

(

)

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

virtual

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

virtual

virtual void itk::ExhaustiveOptimizer::StartOptimization ( void  )

overridevirtual

Start optimization.

Reimplemented from itk::Optimizer.

void itk::ExhaustiveOptimizer::StartWalking

(

)

void itk::ExhaustiveOptimizer::StopWalking

(

)

Member Data Documentation

ParametersType itk::ExhaustiveOptimizer::m_CurrentIndex

protected

Definition at line 142 of file itkExhaustiveOptimizer.h.

SizeValueType itk::ExhaustiveOptimizer::m_CurrentIteration

protected

Definition at line 134 of file itkExhaustiveOptimizer.h.

unsigned int itk::ExhaustiveOptimizer::m_CurrentParameter

protected

Definition at line 138 of file itkExhaustiveOptimizer.h.

MeasureType itk::ExhaustiveOptimizer::m_CurrentValue

protected

Definition at line 130 of file itkExhaustiveOptimizer.h.

MeasureType itk::ExhaustiveOptimizer::m_MaximumMetricValue

protected

Definition at line 146 of file itkExhaustiveOptimizer.h.

ParametersType itk::ExhaustiveOptimizer::m_MaximumMetricValuePosition

protected

Definition at line 152 of file itkExhaustiveOptimizer.h.

SizeValueType itk::ExhaustiveOptimizer::m_MaximumNumberOfIterations

protected

Definition at line 144 of file itkExhaustiveOptimizer.h.

MeasureType itk::ExhaustiveOptimizer::m_MinimumMetricValue

protected

Definition at line 148 of file itkExhaustiveOptimizer.h.

ParametersType itk::ExhaustiveOptimizer::m_MinimumMetricValuePosition

protected

Definition at line 150 of file itkExhaustiveOptimizer.h.

StepsType itk::ExhaustiveOptimizer::m_NumberOfSteps

protected

Definition at line 132 of file itkExhaustiveOptimizer.h.

double itk::ExhaustiveOptimizer::m_StepLength

protected

Definition at line 140 of file itkExhaustiveOptimizer.h.

bool itk::ExhaustiveOptimizer::m_Stop

protected

Definition at line 136 of file itkExhaustiveOptimizer.h.

std::ostringstream itk::ExhaustiveOptimizer::m_StopConditionDescription

private

Definition at line 158 of file itkExhaustiveOptimizer.h.

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

• itkExhaustiveOptimizer.h