ITK
4.1.0
Insight Segmentation and Registration Toolkit
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#include <itkMinimumDecisionRule.h>
Public Types | |
typedef Superclass::ClassIdentifierType | ClassIdentifierType |
typedef SmartPointer< const Self > | ConstPointer |
typedef Superclass::MembershipValueType | MembershipValueType |
typedef Superclass::MembershipVectorType | MembershipVectorType |
typedef SmartPointer< Self > | Pointer |
typedef MinimumDecisionRule | Self |
typedef DecisionRule | Superclass |
Public Member Functions | |
virtual ::itk::LightObject::Pointer | CreateAnother (void) const |
virtual ClassIdentifierType | Evaluate (const MembershipVectorType &discriminantScores) const |
virtual const char * | GetNameOfClass () const |
Static Public Member Functions | |
static Pointer | New () |
Protected Member Functions | |
MinimumDecisionRule () | |
virtual | ~MinimumDecisionRule () |
A decision rule that returns the class label with the smallest discriminant score.
MinimumDecisionRule returns the class label with the smallest discriminant score.
Definition at line 37 of file itkMinimumDecisionRule.h.
Types for class identifiers.
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 57 of file itkMinimumDecisionRule.h.
typedef SmartPointer< const Self > itk::Statistics::MinimumDecisionRule::ConstPointer |
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 44 of file itkMinimumDecisionRule.h.
Types for discriminant values and vectors.
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 50 of file itkMinimumDecisionRule.h.
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 54 of file itkMinimumDecisionRule.h.
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 43 of file itkMinimumDecisionRule.h.
Standard class typedefs
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 41 of file itkMinimumDecisionRule.h.
Reimplemented from itk::Statistics::DecisionRule.
Definition at line 42 of file itkMinimumDecisionRule.h.
itk::Statistics::MinimumDecisionRule::MinimumDecisionRule | ( | ) | [inline, protected] |
Definition at line 66 of file itkMinimumDecisionRule.h.
virtual itk::Statistics::MinimumDecisionRule::~MinimumDecisionRule | ( | ) | [inline, protected, virtual] |
Definition at line 67 of file itkMinimumDecisionRule.h.
virtual::itk::LightObject::Pointer itk::Statistics::MinimumDecisionRule::CreateAnother | ( | void | ) | 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 ClassIdentifierType itk::Statistics::MinimumDecisionRule::Evaluate | ( | const MembershipVectorType & | discriminantScores | ) | const [virtual] |
Evaluate the decision rule, returning the class label associated with the smallest discriminant score.
Implements itk::Statistics::DecisionRule.
virtual const char* itk::Statistics::MinimumDecisionRule::GetNameOfClass | ( | ) | const [virtual] |
Run-time type information (and related methods)
Reimplemented from itk::Statistics::DecisionRule.
static Pointer itk::Statistics::MinimumDecisionRule::New | ( | ) | [static] |
Standard New() method support
Reimplemented from itk::Object.