template<typename TInputImage, typename TFeatureImage, typename TOutputPixelType = float>
class itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >
Segments structures in images based on image features derived from pseudo-canny-edges.
- IMPORTANT
- The SegmentationLevelSetImageFilter class and the CannySegmentationLevelSetFunction class contain additional information necessary to the full understanding of how to use this filter.
- OVERVIEW
- This class is a level set method segmentation filter. It constructs a speed function which is designed to lock onto edges as detected by a Canny filter.
- The CannySegmentationLevelSetImageFilter can be a tool for refining an existing segmentation, or it can be used to try to segment a region by itself. Like all other level-set based segmentation filters (see SegmentationLevelSetImageFilter), it works by first constructing a scalar speed term and a vector advection field based on edge features in the image. The level set front is then moved according to these two terms with the addition of a third curvature term to control the smoothness of the solution.
- The speed term is constructed as the Danielsson distance transform of the Canny edge image, as calculated by the CannyEdgeDetectionImageFilter. This scalar speed can be tuned in and out of the final evolution equation by setting the PropagationScaling parameter (a value of 0 removes the speed term).
- The advection field term is constructed by minimizing Danielsson distance squared. i.e. \( \mbox{min} \int D^2 \Rightarrow D \nabla D \). This term moves the level set down the gradient of the distance transform.
- In practice, you may set the speed (propagation) term to zero if your initialization is already close to the edge you are interested in. If you are trying to segment a region by seeding with a small surface (blob, sphere) then you will likely want to add speed (propagation) to the equation so that the levelsets can expand along zero gradients. The relative influence of these two terms are controlled by the SetPropagationScaling and SetAdvectionScaling parameters.
- INPUTS
- This filter requires two inputs. The first input is a seed image. This seed image must contain an isosurface that you want to use as the seed for your segmentation. It can be a binary, graylevel, or floating point image. The only requirement is that it contain a closed isosurface that you will identify as the seed by setting the IsosurfaceValue parameter of the filter. For a binary image you will want to set your isosurface value halfway between your on and off values (i.e. for 0's and 1's, use an isosurface value of 0.5).
- The second input is the feature image. This is the image from which the speed function will be calculated. For most applications, this is the image that you want to segment. The desired isosurface in your seed image should lie within the region of your feature image that you are trying to segment.
- See SegmentationLevelSetImageFilter for more information on Inputs.
- OUTPUTS
- The filter outputs a single, scalar, real-valued image. Positive *values in the output image are inside the segmented region and negative *values in the image are outside of the inside region. The zero crossings of *the image correspond to the position of the level set front.
- See SparseFieldLevelSetImageFilter and SegmentationLevelSetImageFilter for more information.
- PARAMETERS
- There are five parameters important for controlling the behavior of this filter.
- (1) Threshold. Sets the thresholding value of the Canny edge detection. See CannyEdgeDetectionImageFilter for more information.
- (2) Variance. Controls the smoothing parameter of the gaussian filtering done during Canny edge detection.
- (3) CurvatureScaling. Controls the degree to which curvature influences the evolution of the level set. Higher values relative to Propagation and Advection scalings will yield a smoother surface.
- (4) PropagationScaling. Scales the propagation (speed) term of the level set equation. Set this term to zero to allow the level set to flow only down the gradient of the distance transform.
- (5) AdvectionScaling. Scales influence of the advection field relative to curvature and propagation terms.
- See also
- SegmentationLevelSetImageFilter
-
CannySegmentationLevelSetFunction,
-
SparseFieldLevelSetImageFilter
- Examples
- Examples/Segmentation/CannySegmentationLevelSetImageFilter.cxx.
Definition at line 130 of file itkCannySegmentationLevelSetImageFilter.h.
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| using | CannyFunctionType = itk::CannySegmentationLevelSetFunction< OutputImageType, FeatureImageType > |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | Pointer = SmartPointer< Self > |
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| using | ScalarValueType = typename CannyFunctionType::ScalarValueType |
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| using | Self = CannySegmentationLevelSetImageFilter |
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| using | Superclass = SegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType > |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | FeatureImageType = TFeatureImage |
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| using | OutputImageType = Image< TOutputPixelType, Self::InputImageDimension > |
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| using | Pointer = SmartPointer< Self > |
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| using | SegmentationFunctionType = SegmentationLevelSetFunction< OutputImageType, FeatureImageType > |
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| using | Self = SegmentationLevelSetImageFilter |
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| using | SpeedImageType = typename SegmentationFunctionType::ImageType |
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| using | Superclass = SparseFieldLevelSetImageFilter< TInputImage, OutputImageType > |
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| using | VectorImageType = typename SegmentationFunctionType::VectorImageType |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | IndexType = typename OutputImageType::IndexType |
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| using | InputImageType = TInputImage |
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| using | LayerListType = std::vector< LayerPointerType > |
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| using | LayerNodeStorageType = ObjectStore< LayerNodeType > |
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| using | LayerNodeType = SparseFieldLevelSetNode< IndexType > |
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| using | LayerPointerType = typename LayerType::Pointer |
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| using | LayerType = SparseFieldLayer< LayerNodeType > |
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| using | OutputImageType = Image< TOutputPixelType, TInputImage::ImageDimension > |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = SparseFieldLevelSetImageFilter |
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| using | StatusImageType = Image< StatusType, Self::ImageDimension > |
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| using | StatusType = signed char |
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| using | Superclass = FiniteDifferenceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > |
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| using | UpdateBufferType = std::vector< ValueType > |
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| using | ValueType = typename OutputImageType::ValueType |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | FiniteDifferenceFunctionType = FiniteDifferenceFunction< Image< TOutputPixelType, TInputImage::ImageDimension > > |
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| using | InputImageType = TInputImage |
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| using | InputPixelType = typename TInputImage::PixelType |
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| using | InputPixelValueType = typename NumericTraits< InputPixelType >::ValueType |
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| using | NeighborhoodScalesType = typename FiniteDifferenceFunctionType::NeighborhoodScalesType |
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| using | OutputImageType = Image< TOutputPixelType, TInputImage::ImageDimension > |
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| using | OutputPixelType = typename Image< TOutputPixelType, TInputImage::ImageDimension > ::PixelType |
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| using | OutputPixelValueType = typename NumericTraits< OutputPixelType >::ValueType |
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| using | PixelType = OutputPixelType |
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| using | Pointer = SmartPointer< Self > |
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| using | RadiusType = typename FiniteDifferenceFunctionType::RadiusType |
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| using | Self = FiniteDifferenceImageFilter |
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| using | Superclass = InPlaceImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > |
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| using | TimeStepType = typename FiniteDifferenceFunctionType::TimeStepType |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | InputImageConstPointer = typename InputImageType::ConstPointer |
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| using | InputImagePixelType = typename InputImageType::PixelType |
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| using | InputImagePointer = typename InputImageType::Pointer |
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| using | InputImageRegionType = typename InputImageType::RegionType |
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| using | InputImageType = TInputImage |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = InPlaceImageFilter |
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| using | Superclass = ImageToImageFilter< TInputImage, Image< TOutputPixelType, TInputImage::ImageDimension > > |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | InputImageConstPointer = typename InputImageType::ConstPointer |
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| using | InputImagePixelType = typename InputImageType::PixelType |
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| using | InputImagePointer = typename InputImageType::Pointer |
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| using | InputImageRegionType = typename InputImageType::RegionType |
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| using | InputImageType = TInputImage |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = ImageToImageFilter |
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| using | Superclass = ImageSource< Image< TOutputPixelType, TInputImage::ImageDimension > > |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | DataObjectIdentifierType = Superclass::DataObjectIdentifierType |
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| using | DataObjectPointer = DataObject::Pointer |
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| using | DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType |
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| using | OutputImagePixelType = typename OutputImageType::PixelType |
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| using | OutputImagePointer = typename OutputImageType::Pointer |
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| using | OutputImageRegionType = typename OutputImageType::RegionType |
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| using | OutputImageType = Image< TOutputPixelType, TInputImage::ImageDimension > |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = ImageSource |
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| using | Superclass = ProcessObject |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | DataObjectIdentifierType = DataObject::DataObjectIdentifierType |
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| using | DataObjectPointer = DataObject::Pointer |
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| using | DataObjectPointerArray = std::vector< DataObjectPointer > |
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| using | DataObjectPointerArraySizeType = DataObjectPointerArray::size_type |
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| using | MultiThreaderType = MultiThreaderBase |
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| using | NameArray = std::vector< DataObjectIdentifierType > |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = ProcessObject |
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| using | Superclass = Object |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = Object |
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| using | Superclass = LightObject |
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| using | ConstPointer = SmartPointer< const Self > |
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| using | Pointer = SmartPointer< Self > |
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| using | Self = LightObject |
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| | CannySegmentationLevelSetImageFilter () |
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| | ~CannySegmentationLevelSetImageFilter () override=default |
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| void | GenerateData () override |
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| void | PrintSelf (std::ostream &os, Indent indent) const override |
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| | SegmentationLevelSetImageFilter () |
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| | ~SegmentationLevelSetImageFilter () override=default |
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| void | InitializeIteration () override |
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| void | AllocateUpdateBuffer () override |
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| void | ApplyUpdate (const TimeStepType &dt) override |
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| TimeStepType | CalculateChange () override |
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| virtual ValueType | CalculateUpdateValue (const IndexType &, const TimeStepType &dt, const ValueType &value, const ValueType &change) |
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| void | ConstructActiveLayer () |
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| void | ConstructLayer (StatusType from, StatusType to) |
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| void | CopyInputToOutput () override |
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| virtual ValueType | GetValueOne () const |
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| virtual ValueType | GetValueZero () const |
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| void | Initialize () override |
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| void | InitializeActiveLayerValues () |
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| virtual void | InitializeBackgroundPixels () |
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| void | PostProcessOutput () override |
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| void | PrintSelf (std::ostream &os, Indent indent) const override |
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| void | ProcessOutsideList (LayerType *OutsideList, StatusType ChangeToStatus) |
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| void | ProcessStatusList (LayerType *InputList, LayerType *OutputList, StatusType ChangeToStatus, StatusType SearchForStatus) |
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| void | PropagateAllLayerValues () |
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| void | PropagateLayerValues (StatusType from, StatusType to, StatusType promote, int InOrOut) |
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| | SparseFieldLevelSetImageFilter () |
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| void | UpdateActiveLayerValues (TimeStepType dt, LayerType *UpList, LayerType *DownList) |
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| | ~SparseFieldLevelSetImageFilter () override=default |
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| | FiniteDifferenceImageFilter () |
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| void | GenerateData () override |
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| void | GenerateInputRequestedRegion () override |
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| virtual bool | Halt () |
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| virtual TimeStepType | ResolveTimeStep (const std::vector< TimeStepType > &timeStepList, const BooleanStdVectorType &valid) const |
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| virtual void | SetElapsedIterations (IdentifierType _arg) |
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| virtual bool | ThreadedHalt (void *) |
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| | ~FiniteDifferenceImageFilter () override=default |
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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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| void | AllocateOutputs () override |
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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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| | ImageToImageFilter () |
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| void | VerifyInputInformation () const override |
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| | ~ImageToImageFilter () override=default |
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| virtual void | PushBackInput (const DataObject *input) |
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| virtual void | PushFrontInput (const DataObject *input) |
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| virtual void | AfterThreadedGenerateData () |
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| virtual void | BeforeThreadedGenerateData () |
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| void | ClassicMultiThread (ThreadFunctionType callbackFunction) |
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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 ®ion, ThreadIdType threadId) |
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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 | 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 | PushBackInput (const DataObject *input) |
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| virtual void | PushFrontInput (const DataObject *input) |
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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 idx, DataObject *input) |
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| virtual void | SetNthOutput (DataObjectPointerArraySizeType idx, 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 &name, DataObject *output) |
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| virtual void | SetPrimaryInput (DataObject *object) |
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| virtual void | SetPrimaryOutput (DataObject *object) |
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| void | SetRequiredInputNames (const NameArray &) |
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| virtual void | VerifyPreconditions () 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 i) |
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| const DataObject * | GetOutput (DataObjectPointerArraySizeType i) const |
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| DataObject * | GetPrimaryOutput () |
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| const DataObject * | GetPrimaryOutput () const |
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| virtual bool | GetThreaderUpdateProgress () const |
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| virtual void | ThreaderUpdateProgressOn () |
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| virtual void | SetThreaderUpdateProgress (bool arg) |
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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 &timeStamp) |
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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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Inheritance diagram for itk::CannySegmentationLevelSetImageFilter< TInputImage, TFeatureImage, TOutputPixelType >:
1.8.16