Proposals:Refactoring Statistics Framework 2007 List of Classifier Related Classes: Difference between revisions
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|itkMembershipFunctionBase || Distance function || FunctionBase | |itkMembershipFunctionBase || Distance function || FunctionBase | ||
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|itkDensityFunction || Distance Function || MembershipFunctionBase | |||
|itkDensityFunction || | |||
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|itkMembershipSampleGenerator || Decision || itkDecision | |itkMembershipSampleGenerator || Decision || itkDecision | ||
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|itkMahalanobisDistanceMembershipFunction || | |itkMahalanobisDistanceMembershipFunction || Distance Function || itkDecision | ||
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|itkMaximumDecisionRule || Decision || itkDecision | |itkMaximumDecisionRule || Decision || itkDecision | ||
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|itkMinimumDecisionRule || Decision || itkDecision | |itkMinimumDecisionRule || Decision || itkDecision | ||
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Revision as of 21:00, 16 July 2008
Here is the list of ITK classes related to classification
- itkScalarImageKmeansImageFilter
- itkImageClassifierBase
- itkRGBGibbsPriorFilter
- itkBayesianClassifierImageFilter
- itkClassifierBase
- itkMRFImageFilter
- itkBayesianClassifierInitializationImageFilter
- itkSampleClassifierWithMask
- itkSampleClassifier
- itkImageModelEstimatorBase.h
- itkImageGaussianModelEstimator.h
- itkMahalanobisDistanceThresholdImageFunction.h
- itkDistanceToCentroidMembershipFunction.h
- itkDistanceMetric.h
- itkListSample.h
- itkExpectationMaximizationMixtureModelEstimator.h
- itkMembershipFunctionBase.h
- itkMembershipSample.h
- itkGaussianMixtureModelComponent.h
- itkDensityFunction.h
- itkMembershipSampleGenerator.h
- itkMahalanobisDistanceMembershipFunction.h
- itkMixtureModelComponentBase.h
- itkSelectiveSubsampleGenerator.h
- itkMaximumDecisionRule.h
- itkMaximumRatioDecisionRule.h
- itkDecisionRuleBase.h
- itkMinimumDecisionRule.h
Four major function categories
- Distance function ( similarity measure )
- Decision rule
- Classification
- Class model estimation ( Estimation )
- Framework: distance, decision rule, class model estimation
Class | Function | Base class |
---|---|---|
itkScalarImageKmeansImageFilter | Framework | ImageToImageFilter |
itkImageClassifierBase | Framework | ClassiferBase |
itkRGBGibbsPriorFilter | ?? | MRFImageFilter |
itkBayesianClassifierImageFilter | Framework | ImageToImageFilter |
itkClassifierBase | Framework | itkLightProcessObject |
itkMRFImageFilter | ||
itkBayesianClassifierInitializationImageFilter | Estimation | ImageToImagFilter |
itkSampleClassifierWithMask | Framework | SampleClassifierWithMask |
itkSampleClassifier | Framework | ClassiferBase |
itkImageModelEstimatorBase | Estimation | LightProcessObject |
itkImageGaussianModelEstimator | Estimation | ImageModelEstimatorBase |
itkMahalanobisDistanceMembershipFunction | Distance function | MembershipFunctionBase |
itkDistanceToCentroidMembershipFunction | Distance function | MembershipFunctionBase |
itkDistanceMetric | Distance function | MembershipFunctionBase |
itkExpectationMaximizationMixtureModelEstimator | Estimation | Object |
itkMembershipFunctionBase | Distance function | FunctionBase |
itkDensityFunction | Distance Function | MembershipFunctionBase |
itkMembershipSampleGenerator | Decision | itkDecision |
itkMahalanobisDistanceMembershipFunction | Distance Function | itkDecision |
itkMaximumDecisionRule | Decision | itkDecision |
itkMaximumRatioDecisionRule | Decision | itkDecision |
itkDecisionRuleBase | Decision | itkDecision |
itkMinimumDecisionRule | Decision | itkDecision |