Proposals:Refactoring Statistics Framework 2007 List of Classifier Related Classes: Difference between revisions

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|itkDensityFunction || Distance Function || MembershipFunctionBase
|itkDensityFunction || Distance Function || MembershipFunctionBase
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|itkMembershipSampleGenerator || Decision || itkDecision
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|itkMahalanobisDistanceMembershipFunction || Distance Function || itkDecision
|itkMahalanobisDistanceMembershipFunction || Distance Function || MembershipFunctionBase
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|itkMaximumDecisionRule || Decision || itkDecision
|itkMaximumDecisionRule || Decision || DecisionRuleBase
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|itkMaximumRatioDecisionRule || Decision || itkDecision
|itkMaximumRatioDecisionRule || Decision || DecisionRuleBase
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|itkDecisionRuleBase || Decision || itkDecision
|itkDecisionRuleBase || Decision || Object
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|itkMinimumDecisionRule || Decision || itkDecision
|itkMinimumDecisionRule || Decision || DecisionRuleBase
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Revision as of 21:02, 16 July 2008

Here is the list of ITK classes related to classification

  1. itkScalarImageKmeansImageFilter
  2. itkImageClassifierBase
  3. itkRGBGibbsPriorFilter
  4. itkBayesianClassifierImageFilter
  5. itkClassifierBase
  6. itkMRFImageFilter
  7. itkBayesianClassifierInitializationImageFilter
  8. itkSampleClassifierWithMask
  9. itkSampleClassifier
  10. itkImageModelEstimatorBase.h
  11. itkImageGaussianModelEstimator.h
  12. itkMahalanobisDistanceThresholdImageFunction.h
  13. itkDistanceToCentroidMembershipFunction.h
  14. itkDistanceMetric.h
  15. itkListSample.h
  16. itkExpectationMaximizationMixtureModelEstimator.h
  17. itkMembershipFunctionBase.h
  18. itkMembershipSample.h
  19. itkGaussianMixtureModelComponent.h
  20. itkDensityFunction.h
  21. itkMembershipSampleGenerator.h
  22. itkMahalanobisDistanceMembershipFunction.h
  23. itkMixtureModelComponentBase.h
  24. itkSelectiveSubsampleGenerator.h
  25. itkMaximumDecisionRule.h
  26. itkMaximumRatioDecisionRule.h
  27. itkDecisionRuleBase.h
  28. itkMinimumDecisionRule.h

Four major function categories

  1. Distance function ( similarity measure )
  2. Decision rule
  3. Classification
  4. Class model estimation ( Estimation )
  5. 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
itkMahalanobisDistanceMembershipFunction Distance Function MembershipFunctionBase
itkMaximumDecisionRule Decision DecisionRuleBase
itkMaximumRatioDecisionRule Decision DecisionRuleBase
itkDecisionRuleBase Decision Object
itkMinimumDecisionRule Decision DecisionRuleBase
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