Proposals:Refactoring Statistics Framework 2007 Migration Users Guide

How To Migrate your code to the New Statistics Framework

Measurement Containers



Class Name	Fate	Deprecated API	New API
Sample	Refactored	Does not derives from Object anymore, now it derives from DataObject. typedef for InstanceIdentifier was replaced from unsigned long to std::vector<MeasurementVectorType>::size_type Size() method now returns InstanceIdentifier type, before it returned unsigned int, which was inconsistent with the declaration of InstanceIdentifier as unsigned long. The return type of Size() must be the same use for Id of the elements, since it may reach the same maximum number. Removing unnecessary const in identifiers GetMeasurementVector( const InstanceItentifier & id ) is now GetMeasurementVector( InstanceItentifier id ) GetFrequency( const InstanceItentifier & id ) is now GetFrequency( InstanceItentifier id ) SetMeasurementVectorSize( const MeasurementVectorSizeType s ) is now SetMeasurementVectorSize( MeasurementVectorSizeType s )	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. It now derives from its template argument. Before, it was deriving from an explicit itk::Statistics::Sample<> whose template argument MeasurementVector was taken as a trait from the Subsample template argument. The current derivation is more consistent with the notion that the Subsample should behave as the sample from which the instances are taken. FrequencyType GetFrequencyByIndex(int index) const : was removed. This method becomes obsolete when the inconsistencies between index and identifier are removed. InstanceIdentifier GetInstanceIdentifier(int index) const; was removed. This method becomes obsolete when the inconsistencies between index and identifier are removed. Iterators Common GetInstanceIdentifier() now returns the integer distance to the Begin() element. Before it used to return the index of the instance in the real sample. Iterator& operator+(int n) and Iterator& operator-(int n) were removed. The methods were not used, and they were not consistent with other containers. They were also unsafe, given that with Begin() and End() there is no way to verify if an iterator has moved before Begin() or after End() (unless we rely on being aware of the underlying pointer implementation of the Iterators, which would be a violation of the class encapsulation). Constructor ConstIterator(typename InstanceIdentifierHolder::const_iterator iter, const Self* classSample) was made protected, since this constructor must only be called by the Sample owner class. ConstIterator removing Friendship to the Iterator non-const Iterator removing Friendship to the ConstIterator	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. AddInstance( InsitanceIdentifier Id ) Now throws an exception if the Id is larger than the Size of the Sample. Now it calls Modified() Iterators Now the non-const Iterator derives from the ConstIterator Methods declared protected and purposely not implemented Default constructor: This was a safety risk since it contained uninitialized variables The following method are in this category to enforce const correctness. All of them could have offered ways of removing constness without warning Iterator(const Self * sample); Iterator(typename InstanceIdentifierHolder::const_iterator iter, const Self* classSample); Iterator(const ConstIterator & it); ConstIterator& operator=(const ConstIterator& it);
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 a class from the itk::Statistics::ListSampleBase, you should now derive directly from the itk::Statistics::Sample class. If you were using the Search() method you can get that functionality now from the (refactored) NeighborhoodSampler filter class. Note that the NeighborhoodSampler now allows users to setup a specific distance metric.
ListSample	Refactored Luis to add more here	The iterators API was updated, const-correctness is now enforced
MembershipSample	Refactored Luis to add more here	It does not derive from itk::Sample anymore, instead it derives from DataObject.
Histogram	Refactored Luis to add more here
VariableDimensionHistogram
KdTree	Refactored Luis to add more here

Frequency Containers

Class Name	Fate	Deprecated API	New API
DenseFrequencyContainer
SparseFrequencyContainer

Process Objects

Class Name	Fate	Deprecated API	New API
SampleClassifier
SampleClassifierWithMask

Traits

Class Name	Fate	Deprecated API	New API
MeasurementVectorTraits	Refactored (same name)		Added Assert() instantiations for comparing length of FixedArray raw pointer, std::vector raw pointer FixedArray reference, std::vector reference Added Assign() method for generalizing the assignment of scalars and vector types Assign() vectorType to vectorType Assign() scalarType to FixedArray< scalarType, 1 > Added trait MeasurementVectorType to be used as MeasurementVectorPixelTraits< PixelType >::MeasurementVectorType This trait generalizes the mechanism for creating a measurement vector using as component type the pixel type of an image Added explicit testing up to 100% code coverage

MeanShift

Class Name	Fate	Deprecated API	New API

Adaptors

Class Name	Fate	Deprecated API	New API

Univariate Distributions

Class Name	Fate	Deprecated API	New API

Algorithms

Class Name	Fate	Deprecated API	New API

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() SetWeightFunction() now you could use the WeightFilter???	now derives from ProcessObject SetWeightsInputs() (the data decorated version of SetWeights() ....
WeightedMeanCalculator	Refactored into WeightedMeanFilter	SetSample() method replaced with SetInput() SetWeightFunction() now you could use the WeightFilter???	now derives from ProcessObject SetWeightsInputs() (the data decorated version of SetWeights() ....

Generators

Class Name	Fate	Deprecated API	New API

Filters

Class Name	Fate	Deprecated API	New API

Multivariate Density Functions

Class Name	Fate	Deprecated API	New API

Distance Metrics

Class Name	Fate	Deprecated API	New API

Components

Class Name	Fate	Deprecated API	New API

Estimators

Class Name	Fate	Deprecated API	New API