#include <itkSimilarityIndexImageFilter.h>
Inheritance diagram for itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >:
SimilarityIndexImageFilter measures the similarity between the set non-zero pixels of two images using the following formula:
where and are respectively the set of non-zero pixels in the first and second input images. Operator represents the size of a set and represents the intersection of two sets.
The measure is derived from a reliability measure known as the kappa statistic. is sensitive to both differences in size and in location and have been in the literature for comparing two segmentation masks. For more information see: "Morphometric Analysis of White Matter Lesions in MR Images: Method and Validation", A. P. Zijdenbos, B. M. Dawant, R. A. Margolin and A. C. Palmer, IEEE Trans. on Medical Imaging, 13(4) pp 716-724,1994
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 58 of file itkSimilarityIndexImageFilter.h.
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Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 66 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 84 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 79 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 86 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 77 of file itkSimilarityIndexImageFilter.h. |
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Image related typedefs. Definition at line 75 of file itkSimilarityIndexImageFilter.h. Referenced by itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >::GetInput1(), and itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >::SetInput1(). |
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Definition at line 80 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 87 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 78 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 76 of file itkSimilarityIndexImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 65 of file itkSimilarityIndexImageFilter.h. |
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Type to use form computations. Definition at line 94 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 82 of file itkSimilarityIndexImageFilter.h. |
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Standard Self typedef Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 63 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 83 of file itkSimilarityIndexImageFilter.h. |
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Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. Definition at line 64 of file itkSimilarityIndexImageFilter.h. |
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Definition at line 115 of file itkSimilarityIndexImageFilter.h. |
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Do final mean and variance computation from data accumulated in threads. Reimplemented from itk::ImageSource< TInputImage1 >. |
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Pass the input through unmodified. Do this by Grafting in the AllocateOutputs method. Reimplemented from itk::ImageSource< TInputImage1 >. |
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Initialize some accumulators before the threads run. Reimplemented from itk::ImageSource< TInputImage1 >. |
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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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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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Get the first input. Definition at line 104 of file itkSimilarityIndexImageFilter.h. References itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >::InputImage1Type. |
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Get the secong input. |
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Runtime information support. Reimplemented from itk::ImageToImageFilter< TInputImage1, TInputImage1 >. |
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Return the computed similarity index. |
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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 97 of file itkSimilarityIndexImageFilter.h. References itk::SimilarityIndexImageFilter< TInputImage1, TInputImage2 >::InputImage1Type. |
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Set the second input. |
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Multi-thread version GenerateData. |