Proposals:Refactoring Statistics Framework 2007 Migration Users Guide

How To Migrate your code to the New Statistics Framework

Measurement Containers



Class Name	Fate	New Use
KdTree	Refactored
Histogram	Refactored
VariableDimensionHistogram
ListSampleBase	Deprecated	The class was unecessary, it was providing only a Search() method that should in fact be provided by a process class, not a data container. If you were deriving from this class, you should now derive directly from the itk::Sample. If you were using the Search() method you can get that functionality now from the itkStatisticsAlgorithm Search() algorithm.
ListSample	Refactored	The iterators API was updated, const-correctness is now enforced
Sample	Refactored	const-correctness is now enforced. It now derives from DataObject
Subsample	Refactored	The concept of Indices and InstanceIdentifiers was fixed. InstanceIdentifiers were previously referring to the original Sample, they are now referring to the current Subsample set of measurement vectors. The basic principle followed now in the design of the Subsample class is that the subsample should behave as a sample. That is, a user should be able to use a Subsample class in any algorithm that is expecting a Sample.
MembershipSample	Refactored	It does not derive from itk::Sample anymore, instead it derives from DataObject.

Calculators

Class Name	Fate	Deprecated API	New API
CovarianceCalculator	Refactored into CovarianceFilter	SetMean() because it was inconsistent	GetOutput(), SetInput(), GetMean()
GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator	Refactored into HistogramToTextureFeaturesFilter		now derives from ProcessObject, SetInput(), GetOutput()
MeanCalculator	Refactored into MeanFilter	SetSample() method replaced with SetInput()	now derives from ProcessObject
ScalarImageTextureCalculator	Refactored into (???Filter)
WeightedCovarianceCalculator	Refactored into WeightedCovarianceFilter	SetSample() method replaced with SetInput()	now derives from ProcessObject, SetWeightsInputs()
WeightedMeanCalculator	Refactored into WeightedMeanFilter	SetSample() method replaced with SetInput() SetWeightFunction() now you could use the WeightFilter???	SetWeightsInputs() (the data decorated version of SetWeights() ....