template<typename TInputImage1, typename TInputImage2>
class itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >
Computes the directed Hausdorff distance between the set of non-zero pixels of two images.
DirectedHausdorffDistanceImageFilter computes the distance between the set non-zero pixels of two images using the following formula:
![\[ h(A,B) = \max_{a \in A} \min_{b \in B} \| a - b\| \]](form_188.png)
where 
and 
are respectively the set of non-zero pixels in the first and second input images. It identifies the point 
that is farthest from any point of and measures the distance from 
to the nearest neighbor in . Note that this function is not symmetric and hence is not a true distance.
In particular, this filter uses the SignedMaurerDistanceMapImageFilter inside to compute distance map from all non-zero pixels in the second image. It then finds the largest distance (in pixels) within the set of all non-zero pixels in the first image. The largest distance is returned by the method GetDirectedHausdorffDistance().
In addition, this filter computes the average Hausdorff distance. This average is defined as the average of all minimum distances with any negative distances set to 0 since they indicate overlapping regions. By definition, the distance map computes the minimum distances. However, since this filter is computed using a signed distance transform, the negative distance values are first set to 0 before calculating the average. The average distance is returned by the method GetAverageHausdorffDistance().
Use HausdorffDistanceImageFilter to compute the full Hausdorff distance.
This filter requires the largest possible region of the first image and the same corresponding region in the second image. It behaves as filter with two input and one output. Thus it can be inserted in a pipeline with other filters. The filter passes the first input through unmodified.
This filter is templated over the two input image type. It assume both image have the same number of dimensions.
- See Also
- MaurerDistanceMapImageFilter
-
HausdorffDistanceImageFilter
Definition at line 72 of file itkDirectedHausdorffDistanceImageFilter.h.
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| void | AfterThreadedGenerateData () |
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| void | AllocateOutputs () |
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| void | BeforeThreadedGenerateData () |
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| | DirectedHausdorffDistanceImageFilter () |
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| void | EnlargeOutputRequestedRegion (DataObject *data) |
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| void | GenerateInputRequestedRegion () |
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| void | PrintSelf (std::ostream &os, Indent indent) const |
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| void | ThreadedGenerateData (const RegionType &outputRegionForThread, ThreadIdType threadId) |
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| | ~DirectedHausdorffDistanceImageFilter () |
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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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| virtual void | VerifyInputInformation () |
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| | ~ImageToImageFilter () |
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| void | PushBackInput (const DataObject *input) |
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| void | PushFrontInput (const DataObject *input) |
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| virtual void | GenerateData () ITK_OVERRIDE |
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virtual const
ImageRegionSplitterBase * | GetImageRegionSplitter (void) 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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| virtual void | CacheInputReleaseDataFlags () |
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| virtual void | GenerateOutputInformation () |
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| virtual void | GenerateOutputRequestedRegion (DataObject *output) |
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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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| | 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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| 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 | 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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| virtual void | VerifyPreconditions () |
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| | ~ProcessObject () |
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| DataObject * | GetInput (const DataObjectIdentifierType &key) |
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| const DataObject * | GetInput (const DataObjectIdentifierType &key) const |
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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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| virtual void | SetNumberOfRequiredInputs (DataObjectPointerArraySizeType) |
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virtual const
DataObjectPointerArraySizeType & | GetNumberOfRequiredInputs () const |
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| bool | AddRequiredInputName (const DataObjectIdentifierType &) |
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| bool | AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx) |
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| bool | RemoveRequiredInputName (const DataObjectIdentifierType &) |
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| bool | IsRequiredInputName (const DataObjectIdentifierType &) const |
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| void | SetRequiredInputNames (const NameArray &) |
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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 TInputImage1 , typename TInputImage2 >
What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierarchy. Up till now, the base assumption has been that the largest possible region will be requested of the input.
This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.
- See Also
- ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >.
Inheritance diagram for itk::DirectedHausdorffDistanceImageFilter< TInputImage1, TInputImage2 >:
1.8.5
