Proposals:Refactoring Statistics Framework 2007 Action Items: Difference between revisions
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**NormalVariateGenerator | **NormalVariateGenerator | ||
**RandomVariateGeneratorBase | **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 ) | |||
Revision as of 15:17, 5 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 )
