template<typename TInputImage, typename TOutputImage = TInputImage>
class itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >
1D recursive Gaussian blur based on Young-Van Vliet's algorithm, implemented for CPU.
This CPU implementation is more efficient than the GPU implamentation for smaller images (e.g. 512 and smaller for quadcores at over 3GHz); use the benchmark tests to establish the size for which this implementation performs better for your particular hardware configuration.
More information in the Insight Journal publication: http://hdl.handle.net/10380/3425
Definition at line 45 of file itkRecursiveLineYvvGaussianImageFilter.h.
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| void | BeforeThreadedGenerateData () override |
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| void | EnlargeOutputRequestedRegion (DataObject *output) override |
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| void | FilterDataArray (RealType *outs, const RealType *data, RealType *scratch, unsigned int ln) |
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| const ImageRegionSplitterBase * | GetImageRegionSplitter (void) const override |
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| virtual void | SetUp (ScalarRealType spacing) |
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| void | ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId) override |
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| void | AllocateOutputs () override |
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| virtual bool | GetRunningInPlace () const |
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| | InPlaceImageFilter ()=default |
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| void | ReleaseInputs () override |
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| | ~InPlaceImageFilter () 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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| void | ClassicMultiThread (ThreadFunctionType callbackFunction) |
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| void | GenerateData () override |
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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 | DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread) |
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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 | 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 () ITKv5_CONST |
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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 = TInputImage>
Get the image splitter to split the image for multi-threading.
The Splitter object divides the image into regions for threading or streaming. The algorithms on how to split an images are separated into class so that they can be easily be reused. When deriving from this class to write a filter consideration to the algorithm used to divide the image should be made. If a change is desired this method should be overridden to return the appropriate object.
Reimplemented from itk::ImageSource< TOutputImage >.
template<typename TInputImage , typename TOutputImage = TInputImage>
Set/Get the flag for normalizing the gaussian over scale space. When this flag is ON the filter will be normalized in such a way that larger sigmas will not result in the image fading away.
![\[ \frac{ 1 }{ \sqrt{ 2 \pi } }; \]](form_527.png)
When the flag is OFF the normalization will conserve contant the integral of the image intensity.
![\[ \frac{ 1 }{ \sigma \sqrt{ 2 \pi } }; \]](form_528.png)
For analyzing an image across Scale Space you want to enable this flag. It is disabled by default.
template<typename TInputImage , typename TOutputImage = TInputImage>
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 >.
Inheritance diagram for itk::RecursiveLineYvvGaussianImageFilter< TInputImage, TOutputImage >:
1.8.5
