#include <itkHausdorffDistanceImageFilter.h>
Inheritance diagram for itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >:
HausdorffDistanceImageFilter computes the distance between the set non-zero pixels of two images using the following formula:
where
is the directed Hausdorff distance and and are respectively the set of non-zero pixels in the first and second input images.
In particular, this filter uses the DirectedHausdorffImageFilter inside to compute the two directed distances and then select the largest of the two.
The Hausdorff distance measures the degree of mismatch between two sets and behaves like a metric over the set of all closedm bounded sets - with properties of identity, symmetry and triangle inequality.
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.
Definition at line 60 of file itkHausdorffDistanceImageFilter.h.
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Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 68 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 86 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 81 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 88 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 79 of file itkHausdorffDistanceImageFilter.h. |
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Image related typedefs. Definition at line 77 of file itkHausdorffDistanceImageFilter.h. Referenced by itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::GetInput1(), and itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::SetInput1(). |
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Definition at line 82 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 89 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 80 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 78 of file itkHausdorffDistanceImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 67 of file itkHausdorffDistanceImageFilter.h. |
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Type to use form computations. Definition at line 96 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 84 of file itkHausdorffDistanceImageFilter.h. |
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Standard Self typedef Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 65 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 85 of file itkHausdorffDistanceImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 66 of file itkHausdorffDistanceImageFilter.h. |
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Definition at line 117 of file itkHausdorffDistanceImageFilter.h. |
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Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region. Reimplemented from itk::ProcessObject. |
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GenerateData. Reimplemented from itk::ImageSource< TInputImage1 >. |
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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 hierachy. 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.
Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. |
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Return the computed Hausdorff distance. |
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Get the first input. Definition at line 106 of file itkHausdorffDistanceImageFilter.h. References itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage1Type. |
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Get the second input. |
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Runtime information support. Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. |
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Image related typedefs. |
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Method for creation through the object factory. Reimplemented from itk::Object. |
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Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes. Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. |
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Set the first input. Definition at line 99 of file itkHausdorffDistanceImageFilter.h. References itk::HausdorffDistanceImageFilter< TInputImage1, TInputImage2 >::InputImage1Type. |
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Set the second input. |