Proposals:Refactoring Statistics Framework 2007 List of Classifier Related Classes: Difference between revisions
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| itkDecisionRuleBase || Decision || itkDecision | | itkDecisionRuleBase || Decision || itkDecision | ||
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itkScalarImageKmeansImageFilter | itkScalarImageKmeansImageFilter || Decision || itkDecision | ||
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itkImageClassifierBase | itkImageClassifierBase || Decision || itkDecision | ||
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itkScalarImageKmeansImageFilter | itkScalarImageKmeansImageFilter || Decision || itkDecision | ||
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itk ImageClassifierBase || Decision || itkDecision | |||
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itkRGBGibbsPriorFilter || Decision || itkDecision | |||
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itkBayesianClassifierImageFilter || Decision || itkDecision | |||
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itkClassifierBase || Decision || itkDecision | |||
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itkMRFImageFilter || Decision || itkDecision | |||
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itkBayesianClassifierInitializationImageFilter || Decision || itkDecision | |||
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itkSampleClassifierWithMask || Decision || itkDecision | |||
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itkSampleClassifier || Decision || itkDecision | |||
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itkImageModelEstimatorBase || Decision || itkDecision | |||
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itkImageGaussianModelEstimator || Decision || itkDecision | |||
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itkMahalanobisDistanceThresholdImageFunction || Decision || itkDecision | |||
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itkDistanceToCentroidMembershipFunction || Decision || itkDecision | |||
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itkDistanceMetric || Decision || itkDecision | |||
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itkExpectationMaximizationMixtureModelEstimator || Decision || itkDecision | |||
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itkMembershipFunctionBase || Decision || itkDecision | |||
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itkMembershipSample || Decision || itkDecision | |||
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itkGaussianMixtureModelComponent || Decision || itkDecision | |||
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itkDensityFunction || Decision || itkDecision | |||
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itkMembershipSampleGenerator || Decision || itkDecision | |||
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itkMahalanobisDistanceMembershipFunction || Decision || itkDecision | |||
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itkMixtureModelComponentBase || Decision || itkDecision | |||
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itkSelectiveSubsampleGenerator || Decision || itkDecision | |||
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itkMaximumDecisionRule || Decision || itkDecision | |||
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itkMaximumRatioDecisionRule || Decision || itkDecision | |||
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itkDecisionRuleBase || Decision || itkDecision | |||
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itkMinimumDecisionRule || Decision || itkDecision | |||
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itkRGBGibbsPriorFilter || Decision || itkDecision | |||
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itkBayesianClassifierImageFilter || Decision || itkDecision | |||
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itkClassifierBase || Decision || itkDecision | |||
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itkMRFImageFilter || Decision || itkDecision | |||
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itkBayesianClassifierInitializationImageFilter || Decision || itkDecision | |||
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itkSampleClassifierWithMask || Decision || itkDecision | |||
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itkSampleClassifier || Decision || itkDecision | |||
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itkImageModelEstimatorBase.h || Decision || itkDecision | |||
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itkImageGaussianModelEstimator.h || Decision || itkDecision | |||
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itkMahalanobisDistanceThresholdImageFunction.h || Decision || itkDecision | |||
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itkDistanceToCentroidMembershipFunction.h || Decision || itkDecision | |||
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itkDistanceMetric.h || Decision || itkDecision | |||
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itkListSample.h || Decision || itkDecision | |||
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itkExpectationMaximizationMixtureModelEstimator.h || Decision || itkDecision | |||
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itkMembershipFunctionBase.h || Decision || itkDecision | |||
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itkMembershipSample.h || Decision || itkDecision | |||
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itkGaussianMixtureModelComponent.h || Decision || itkDecision | |||
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itkDensityFunction.h || Decision || itkDecision | |||
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itkMembershipSampleGenerator.h || Decision || itkDecision | |||
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itkMahalanobisDistanceMembershipFunction.h || Decision || itkDecision | |||
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itkMixtureModelComponentBase.h || Decision || itkDecision | |||
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itkSelectiveSubsampleGenerator.h || Decision || itkDecision | |||
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itkMaximumDecisionRule.h || Decision || itkDecision | |||
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itkMaximumRatioDecisionRule.h || Decision || itkDecision | |||
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itkDecisionRuleBase.h || Decision || itkDecision | |||
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itkMinimumDecisionRule.h || Decision || itkDecision | |||
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Revision as of 20:13, 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 ) : Distance
- Decision rule : Decision
- Classification : Classification
- Class model estimation ( Membership function estimation ) : Estimation
Class | Function | Base class |
---|---|---|
itkDecisionRuleBase | Decision | itkDecision |