itk::MaximumRatioDecisionRule Class Reference

This rule returns if for all , where the is the index of a class which has membership function and its prior value (usually, the a priori probability or the size of a class) is . More...

#include <itkMaximumRatioDecisionRule.h>

Inheritance diagram for itk::MaximumRatioDecisionRule:

[legend]Collaboration diagram for itk::MaximumRatioDecisionRule:

[legend]List of all members.

Public Types
typedef MaximumRatioDecisionRule	Self
typedef DecisionRuleBase	Superclass
typedef SmartPointer< Self >	Pointer
typedef float	APrioriValueType
typedef std::vector< APrioriValueType >	APrioriVectorType
Public Methods
virtual const char *	GetClassName () const
unsigned int	Evaluate (std::vector< double > &discriminantScores)
void	SetAPriori (APrioriVectorType &values)
Static Public Methods
Pointer	New ()
Protected Methods
	MaximumRatioDecisionRule ()
virtual	~MaximumRatioDecisionRule ()

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Detailed Description

This rule returns if for all , where the is the index of a class which has membership function and its prior value (usually, the a priori probability or the size of a class) is .

Users should set the a priori values before calling the Evaluate method.

See also:

MaximumDecisionRule, MinimumDecisionRule

Definition at line 43 of file itkMaximumRatioDecisionRule.h.

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Member Typedef Documentation

typedef float itk::MaximumRatioDecisionRule::APrioriValueType

Definition at line 58 of file itkMaximumRatioDecisionRule.h.

typedef std::vector< APrioriValueType > itk::MaximumRatioDecisionRule::APrioriVectorType

Definition at line 59 of file itkMaximumRatioDecisionRule.h.

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

Reimplemented from itk::DecisionRuleBase. Definition at line 50 of file itkMaximumRatioDecisionRule.h.

typedef MaximumRatioDecisionRule itk::MaximumRatioDecisionRule::Self

Standard class typedefs Reimplemented from itk::DecisionRuleBase. Definition at line 48 of file itkMaximumRatioDecisionRule.h.

typedef DecisionRuleBase itk::MaximumRatioDecisionRule::Superclass

Reimplemented from itk::DecisionRuleBase. Definition at line 49 of file itkMaximumRatioDecisionRule.h.

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Constructor & Destructor Documentation

itk::MaximumRatioDecisionRule::MaximumRatioDecisionRule (    )  [protected]

virtual itk::MaximumRatioDecisionRule::~MaximumRatioDecisionRule (    )  [inline, protected, virtual]

Definition at line 68 of file itkMaximumRatioDecisionRule.h.

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Member Function Documentation

unsigned int itk::MaximumRatioDecisionRule::Evaluate (  std::vector< double > &    discriminantScores )  [inline, virtual]

The return value of this function is a class label. Basically, using its internal logic based on the discriminant scores, this function decides best class label and return it. Implements itk::DecisionRuleBase. Definition at line 79 of file itkMaximumRatioDecisionRule.h.

virtual const char* itk::MaximumRatioDecisionRule::GetClassName (    )  const [virtual]

Run-time type information (and related methods) Reimplemented from itk::DecisionRuleBase.

Pointer itk::MaximumRatioDecisionRule::New (    )  [static]

Standard New() method support Reimplemented from itk::Object.

void itk::MaximumRatioDecisionRule::SetAPriori (  APrioriVectorType &    values )

Sets the a priori probabilities

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

• itkMaximumRatioDecisionRule.h

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