Proposals:Refactoring Statistics Framework 2007 Action Items

Action Items

API Fixes

• ImageToCoocurrenceListAdaptor
  • Create a Filter for this operation, in this class the Compute() method will be used.
  • Fix the API so it is a real Adaptor : must have a GetMeasurementVector(unsigned int id) method.
• There is no conceptual difference between "Generators" and "Calculators"
  • They should become Filters
• Estimators have similar characterstics as "Generators" and "Calculators"
  • They could be converted to filters

Proposals

• Sample class could be derived from a DataObject
  • Subsequently, all the derived classes such as ListSampleBase, Histogram and Subsample will be part of the pipeline.
• Add a typedef in the Sample class for the DataObjectDectorator of a Measurement vector
• KDTree could be derived from a DataObject
• ListSampleBase : to be deprecated
• SampleAlgorithmBase will be derived from ProcessObject
  • Subsequently, classes derived from the SampleAlgorithmBase will be process objects.
• The following Calculator classes will also be derived from process object
  • ScalarImageTextureCalculator
  • GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator
• The following Generator classes will be derived from process object
  • ImageToHistogramGenerator
  • ImageToListGenerator
  • KdTreeGenerator
  • ListSampleToHistogramGenerator
  • MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
  • MembershipSampleGenerator
  • ScalarImageToGreyLevelCooccurrenceMatrixGenerator
  • ScalarImageToHistogramGenerator
  • SelectiveSubsampleGenerator
  • WeightedCentroidKdTreeGenerator
• The following two generator classes will remain as generators
  • NormalVariateGenerator
  • RandomVariateGeneratorBase
• Frequency container classes ( DenseFrequencyContainer and SparseFrequencyContainer ) do not need any modification at this point unless
  • there is a filter which outputs this data type ( in which case DataObjectDecorator can be defined )
• There is a duplication of data in the omponentbase, membership function

Progress

Data Objects

• Sample
• ListSample
• Histogram
• Subsample (Andinet)
• MembershipSample (Andinet)
• KdTree (Luis)
• VariableDimensionHistogram (Luis)

Process Objects

• MeanFilter (Andinet)
• ListSampleToHistogramFilter (Luis)
• ImageToCooccurrenceListFilter (Luis)
• CovarianceFilter (Luis)
• HistogramToTextureFeaturesFilter (it was GreyLevelCooccurrenceMatrixTextureCoefficientsFilter) (Andinet)
• ScalarImageToTextureFeaturesFilter (Luis)
• WeightedCovarianceFilter (Luis)
• WeightedMeanFilter (Andinet)
• ImageToHistogramFilter (was ImageToHistogramGenerator) (Luis)
• ImageToListSampleFilter (ImageToListGenerator) (Andinet)

• SampleToKdTreeFilter (it was KdTreeGenerator) (Luis)
• ListSampleToHistogramGenerator
• MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
• MembershipSampleGenerator
• NormalVariateGenerator
• RandomVariateGeneratorBase
• ScalarImageToGreyLevelCooccurrenceMatrixGenerator
• ScalarImageToHistogramGenerator
• SelectiveSubsampleGenerator
• WeightedCentroidKdTreeGenerator

Adaptors

• ImageToListAdaptor (Andinet)
• JointDomainImageToListAdaptor (Andinet)
• PointSetToListAdaptor (Luis)
• ScalarImageToListAdaptor (Andinet)