template<typename TInputVectorImage, typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
class itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >
Performs Bayesian Classification on an image.
- Inputs and Outputs
- The input to this filter is an itk::VectorImage that represents pixel memberships to 'n' classes. This image is conveniently generated by the BayesianClassifierInitializationImageFilter. You may use that filter to generate the membership images or specify your own.
- The output of the filter is a label map (an image of unsigned char's is the default.) with pixel values indicating the classes they correspond to. Pixels with intensity 0 belong to the 0th class, 1 belong to the 1st class etc.... The classification is done by applying a Maximum decision rule to the posterior image.
- Parameters
- The filter optionally allows you to specify a prior image as well. The prior image, if specified must be a VectorImage with as many components as the number of classes. The posterior image is then generated by multiplying the prior image with the membership image. If the prior image is not specified, the posterior image is the same as the membership image. Another way to look at it is that the priors default to having a uniform distribution over the number of classes. Posterior membership of a pixel = Prior * Membership
- The filter optionally accepts a smoothing filter and number of iterations associated with the smoothing filter. The philosophy is that the filter allows you to iteratively smooth the posteriors prior to applying the decision rule. It is hoped that this would yield a better classification. The user will need to plug in his own smoothing filter with all the parameters set.
- Template parameters
- InputVectorImage, datatype of the output labelmap, precision of the posterior image, precision of the prior image.
- Author
- John Melonakos, Georgia Tech
- Note
- This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.
- See also
- VectorImage
-
BayesianClassifierInitializationImageFilter
- Examples:
- Examples/Statistics/BayesianClassifier.cxx.
Definition at line 81 of file itkBayesianClassifierImageFilter.h.
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| BayesianClassifierImageFilter () |
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virtual void | ClassifyBasedOnPosteriors () |
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virtual void | ComputeBayesRule () |
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virtual void | GenerateData () override |
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virtual void | GenerateOutputInformation (void) override |
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PosteriorsImageType * | GetPosteriorImage () |
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virtual void | NormalizeAndSmoothPosteriors () |
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void | PrintSelf (std::ostream &os, Indent indent) const override |
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virtual | ~BayesianClassifierImageFilter () |
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virtual void | CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion) |
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virtual void | CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion) |
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virtual void | GenerateInputRequestedRegion () override |
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| ImageToImageFilter () |
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virtual void | VerifyInputInformation () override |
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| ~ImageToImageFilter () |
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void | PushBackInput (const DataObject *input) override |
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void | PushFrontInput (const DataObject *input) override |
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virtual void | AfterThreadedGenerateData () |
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virtual void | AllocateOutputs () |
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virtual void | BeforeThreadedGenerateData () |
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virtual const ImageRegionSplitterBase * | GetImageRegionSplitter () const |
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| ImageSource () |
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virtual unsigned int | SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion) |
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virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) |
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virtual | ~ImageSource () |
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virtual void | AddInput (DataObject *input) |
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virtual void | AddOutput (DataObject *output) |
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bool | AddRequiredInputName (const DataObjectIdentifierType &) |
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bool | AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx) |
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virtual void | CacheInputReleaseDataFlags () |
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virtual void | GenerateOutputRequestedRegion (DataObject *output) |
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DataObject * | GetInput (const DataObjectIdentifierType &key) |
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const DataObject * | GetInput (const DataObjectIdentifierType &key) const |
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virtual const DataObjectPointerArraySizeType & | GetNumberOfRequiredInputs () const |
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virtual const DataObjectPointerArraySizeType & | GetNumberOfRequiredOutputs () const |
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bool | IsIndexedInputName (const DataObjectIdentifierType &) const |
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bool | IsIndexedOutputName (const DataObjectIdentifierType &) const |
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bool | IsRequiredInputName (const DataObjectIdentifierType &) const |
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| itkLegacyMacro (virtual void RemoveOutput(DataObject *output)) |
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| itkLegacyMacro (void SetNumberOfOutputs(DataObjectPointerArraySizeType num)) |
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| itkLegacyMacro (virtual void RemoveInput(DataObject *input)) |
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| itkLegacyMacro (void SetNumberOfInputs(DataObjectPointerArraySizeType num)) |
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DataObjectPointerArraySizeType | MakeIndexFromInputName (const DataObjectIdentifierType &name) const |
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DataObjectPointerArraySizeType | MakeIndexFromOutputName (const DataObjectIdentifierType &name) const |
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DataObjectIdentifierType | MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const |
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DataObjectIdentifierType | MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const |
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| ProcessObject () |
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virtual void | PropagateResetPipeline () |
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virtual void | ReleaseInputs () |
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virtual void | RemoveInput (const DataObjectIdentifierType &key) |
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virtual void | RemoveInput (DataObjectPointerArraySizeType) |
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virtual void | RemoveOutput (const DataObjectIdentifierType &key) |
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virtual void | RemoveOutput (DataObjectPointerArraySizeType idx) |
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bool | RemoveRequiredInputName (const DataObjectIdentifierType &) |
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virtual void | RestoreInputReleaseDataFlags () |
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virtual void | SetInput (const DataObjectIdentifierType &key, DataObject *input) |
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virtual void | SetNthInput (DataObjectPointerArraySizeType num, DataObject *input) |
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virtual void | SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output) |
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void | SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num) |
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void | SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num) |
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virtual void | SetNumberOfRequiredInputs (DataObjectPointerArraySizeType) |
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virtual void | SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg) |
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virtual void | SetOutput (const DataObjectIdentifierType &key, DataObject *output) |
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virtual void | SetPrimaryInput (DataObject *input) |
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virtual void | SetPrimaryOutput (DataObject *output) |
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void | SetRequiredInputNames (const NameArray &) |
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virtual void | VerifyPreconditions () |
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| ~ProcessObject () |
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DataObject * | GetInput (DataObjectPointerArraySizeType idx) |
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const DataObject * | GetInput (DataObjectPointerArraySizeType idx) const |
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DataObject * | GetPrimaryInput () |
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const DataObject * | GetPrimaryInput () const |
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virtual void | SetPrimaryInputName (const DataObjectIdentifierType &key) |
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virtual const char * | GetPrimaryInputName (void) const |
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DataObject * | GetOutput (const DataObjectIdentifierType &key) |
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const DataObject * | GetOutput (const DataObjectIdentifierType &key) const |
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virtual void | SetPrimaryOutputName (const DataObjectIdentifierType &key) |
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virtual const char * | GetPrimaryOutputName (void) const |
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DataObject * | GetOutput (DataObjectPointerArraySizeType idx) |
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const DataObject * | GetOutput (DataObjectPointerArraySizeType idx) const |
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DataObject * | GetPrimaryOutput () |
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const DataObject * | GetPrimaryOutput () const |
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| Object () |
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bool | PrintObservers (std::ostream &os, Indent indent) const |
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virtual void | SetTimeStamp (const TimeStamp &time) |
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virtual | ~Object () |
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virtual LightObject::Pointer | InternalClone () const |
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| LightObject () |
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virtual void | PrintHeader (std::ostream &os, Indent indent) const |
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virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
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virtual | ~LightObject () |
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template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
Image Type and Pixel type for the images representing the membership of a pixel to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.
Definition at line 136 of file itkBayesianClassifierImageFilter.h.
template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
Image Type and Pixel type for the images representing the Posterior probability of a pixel belonging to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.
Definition at line 146 of file itkBayesianClassifierImageFilter.h.
template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
Image Type and Pixel type for the images representing the Prior probability of a pixel belonging to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.
Definition at line 128 of file itkBayesianClassifierImageFilter.h.
template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
virtual::itk::LightObject::Pointer itk::BayesianClassifierImageFilter< TInputVectorImage, TLabelsType, TPosteriorsPrecisionType, TPriorsPrecisionType >::CreateAnother |
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const |
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virtual |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>
template<typename TInputVectorImage , typename TLabelsType = unsigned char, typename TPosteriorsPrecisionType = double, typename TPriorsPrecisionType = double>