Proposals:Refactoring Statistics Framework 2007 Action Items: Difference between revisions
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* WeightedCovarianceFilter (Luis) | * WeightedCovarianceFilter (Luis) | ||
* WeightedMeanFilter (Andinet) | * WeightedMeanFilter (Andinet) | ||
* ImageToHistogramFilter (was ImageToHistogramGenerator) (Luis) | |||
* ImageToListSampleFilter (ImageToListGenerator) (Andinet) | |||
* KdTreeGenerator | |||
* ListSampleToHistogramGenerator | |||
* MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator | |||
* MembershipSampleGenerator | |||
* NormalVariateGenerator | |||
* RandomVariateGeneratorBase | |||
* ScalarImageToGreyLevelCooccurrenceMatrixGenerator | |||
* ScalarImageToHistogramGenerator | |||
* SelectiveSubsampleGenerator | |||
* WeightedCentroidKdTreeGenerator | |||
== Adaptors == | == Adaptors == | ||
Revision as of 17:55, 9 April 2007
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)
- KdTreeGenerator
- ListSampleToHistogramGenerator
- MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator
- MembershipSampleGenerator
- NormalVariateGenerator
- RandomVariateGeneratorBase
- ScalarImageToGreyLevelCooccurrenceMatrixGenerator
- ScalarImageToHistogramGenerator
- SelectiveSubsampleGenerator
- WeightedCentroidKdTreeGenerator
Adaptors
- ImageToListAdaptor (Andinet)
- JointDomainImageToListAdaptor (Andinet)
- PointSetToListAdaptor (Luis)
- ScalarImageToListAdaptor (Andinet)
