template<typename TInputImage, typename TOutputImage>
class itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >
A filter to enhance M-dimensional objects in N-dimensional images.
The objectness measure is a generalization of Frangi's vesselness measure, which is based on the analysis of the the Hessian eigen system. The filter can enhance blob-like structures (M=0), vessel-like structures (M=1), 2D plate-like structures (M=2), hyper-plate-like structures (M=3) in N-dimensional images, with M<N. The filter takes an image of a Hessian pixels ( SymmetricSecondRankTensor pixels pixels ) and produces an enhanced image. The Hessian input image can be produced using itk::HessianRecursiveGaussianImageFilter.
- References
- Frangi, AF, Niessen, WJ, Vincken, KL, & Viergever, MA (1998). Multiscale Vessel Enhancement Filtering. In Wells, WM, Colchester, A, & Delp, S, Editors, MICCAI '98 Medical Image Computing and Computer-Assisted Intervention, Lecture Notes in Computer Science, pages 130-137, Springer Verlag, 1998.
Additional information can be from in the Insight Journal: https://hdl.handle.net/1926/576
- Author
- Luca Antiga Ph.D. Medical Imaging Unit, Bioengineering Department, Mario Negri Institute, Italy.
- See Also
- MultiScaleHessianBasedMeasureImageFilter
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Hessian3DToVesselnessMeasureImageFilter
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HessianRecursiveGaussianImageFilter
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SymmetricEigenAnalysisImageFilter
-
SymmetricSecondRankTensor
- Examples:
- SphinxExamples/src/Nonunit/Review/SegmentBloodVesselsWithMultiScaleHessianBasedMeasure/Code.cxx.
Definition at line 60 of file itkHessianToObjectnessMeasureImageFilter.h.
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| void | DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) override |
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| | HessianToObjectnessMeasureImageFilter () |
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| void | PrintSelf (std::ostream &os, Indent indent) const override |
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| void | VerifyPreconditions () ITKv5_CONST override |
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| | ~HessianToObjectnessMeasureImageFilter () override=default |
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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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| void | GenerateInputRequestedRegion () override |
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| | ImageToImageFilter () |
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| void | VerifyInputInformation () ITKv5_CONST override |
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| | ~ImageToImageFilter () override |
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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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| void | ClassicMultiThread (ThreadFunctionType callbackFunction) |
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| void | GenerateData () override |
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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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| | ~ImageSource () override=default |
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| virtual void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) |
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| virtual bool | GetDynamicMultiThreading () const |
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| virtual void | SetDynamicMultiThreading (bool _arg) |
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| virtual void | DynamicMultiThreadingOn () |
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| virtual void | DynamicMultiThreadingOff () |
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| virtual void | AddInput (DataObject *input) |
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| void | AddOptionalInputName (const DataObjectIdentifierType &) |
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| void | AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx) |
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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 | GenerateOutputInformation () |
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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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| 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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| | ~ProcessObject () override |
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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 () 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 () 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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| | ~Object () override |
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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 TInputImage , typename TOutputImage >
If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData() or DynamicThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call (Dynamic)ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of (Dynamic)ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a (Dynamic)ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The (Dynamic)ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. (Dynamic)ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).
DynamicThreadedGenerateData() is the newer variant without threadId, and is the preferred signature, which is called by default. This variant can split the requested region into different number of pieces depending on current multi-processing load, which allows better load balancing. The non-dynamic (also known as classic) ThreadedGenerateData() signature has threadId, and number of pieces to be split into is known in advance. It is activated by calling this->DynamicMultiThreadingOff(); in derived class constructor. It should be used when the multi-threaded algorithm needs to pre-allocate some data structure with size dependent on the number of pieces (also known as chunks, work units, and sometimes also incorrectly as threads). Only PlatformMultiThreader guarantees that each piece will be processed in its own specific thread. Pool and TBB multi-threaders maintain a pool of threads (normally equal to number of processing cores) which they use to process the pieces. This normally results in a single thread being reused to process multiple work units.
- See Also
- GenerateData(), SplitRequestedRegion()
Reimplemented from itk::ImageSource< TOutputImage >.
template<typename TInputImage , typename TOutputImage >
Verifies that the process object has been configured correctly, that all required inputs are set, and needed parameters are set appropriately. If not valid an exceptions will be thrown.
This method is called before UpdateOutputInformation is propagated to the inputs.
The ProcessObject's implementation verifies that the NumberOfRequiredInputs are set and not null.
Reimplemented from itk::ProcessObject.
Inheritance diagram for itk::HessianToObjectnessMeasureImageFilter< TInputImage, TOutputImage >:
1.8.5
