#include <itkDecisionRule.h>

Inheritance diagram for itk::Statistics::DecisionRule:

Collaboration diagram for itk::Statistics::DecisionRule:

Public Types
using	ClassIdentifierType = MembershipVectorType::size_type

using	ConstPointer = SmartPointer< const Self >

using	MembershipValueType = double

using	MembershipVectorType = std::vector< MembershipValueType >

using	Pointer = SmartPointer< Self >

using	Self = DecisionRule

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 ClassIdentifierType	Evaluate (const MembershipVectorType &discriminantScores) const =0

virtual const char *	GetNameOfClass () 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

Protected Member Functions
	DecisionRule ()

	~DecisionRule () override

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

	~Object () override

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

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

virtual void	SetTimeStamp (const TimeStamp &timeStamp)

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 ()

Additional Inherited Members
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 Attributes inherited from itk::LightObject
std::atomic< int >	m_ReferenceCount

Detailed Description

Base class for decision rules that return a class label based on a set of discriminant scores.

DecisionRule is the base class for decision rules used in classification. Subclasses of DecisionRule include MaximumDecisionRule, MinimumDecisionRule, and MaximumRationDecisionRule, This class has a pure virtual function, Evaluate(), which implements the particular decision rule, given a set of discriminant scores. Concrete subclasses of DecisionRule must implement this method.

Definition at line 48 of file itkDecisionRule.h.

Member Typedef Documentation

◆ ClassIdentifierType

using itk::Statistics::DecisionRule::ClassIdentifierType = MembershipVectorType::size_type

Types for class identifiers.

Definition at line 67 of file itkDecisionRule.h.

◆ ConstPointer

using itk::Statistics::DecisionRule::ConstPointer = SmartPointer<const Self>

Definition at line 57 of file itkDecisionRule.h.

◆ MembershipValueType

using itk::Statistics::DecisionRule::MembershipValueType = double

Types for discriminant values and vectors.

Definition at line 63 of file itkDecisionRule.h.

◆ MembershipVectorType

using itk::Statistics::DecisionRule::MembershipVectorType = std::vector<MembershipValueType>

Definition at line 64 of file itkDecisionRule.h.

◆ Pointer

using itk::Statistics::DecisionRule::Pointer = SmartPointer<Self>

Examples: Examples/Segmentation/GibbsPriorImageFilter1.cxx.

Definition at line 56 of file itkDecisionRule.h.

◆ Self

using itk::Statistics::DecisionRule::Self = DecisionRule

Standard class type aliases

Definition at line 54 of file itkDecisionRule.h.

◆ Superclass

using itk::Statistics::DecisionRule::Superclass = Object

Definition at line 55 of file itkDecisionRule.h.

Constructor & Destructor Documentation

◆ DecisionRule()

itk::Statistics::DecisionRule::DecisionRule ( )

protected

◆ ~DecisionRule()

itk::Statistics::DecisionRule::~DecisionRule ( )

overrideprotected

Member Function Documentation

◆ Evaluate()

virtual ClassIdentifierType itk::Statistics::DecisionRule::Evaluate ( const MembershipVectorType & discriminantScores ) const

pure virtual

Evaluate the decision rule. The return value of this function is a class label. Functions returns the best label given the discriminant scores using its internal logic.

Implemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

◆ GetNameOfClass()

virtual const char* itk::Statistics::DecisionRule::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods)

Reimplemented from itk::Object.

Reimplemented in itk::Statistics::MaximumRatioDecisionRule, itk::Statistics::MaximumDecisionRule, and itk::Statistics::MinimumDecisionRule.

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

itkDecisionRule.h

Public Types

Public Member Functions

Protected Member Functions

Additional Inherited Members