#include <itkScalarImageTextureCalculator.h>
Inheritance diagram for itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >:
This class computes features that summarize the texture of a given image. The texture features are compute a la Haralick, and have proven to be useful in image classification for biological and medical imaging. This class computes the texture features of an image (optionally in a masked masked region), averaged across several spatial directions so that they are invariant to rotation.
By default, texure features are computed for each spatial direction and then averaged afterward, so it is possible to access the standard deviations of the texture features. These values give a clue as to texture anisotropy. However, doing this is much more work, because it involved computing one GLCM for each offset given. To compute a single GLCM for all of the offsets, call FastCalculationsOn(). If this is called, then the texture standard deviations will not be computed (and will be set to zero), but texture computation will be much faster.
This class is templated over the input image type.
Template Parameters: The image type, and the type of histogram frequency container. If you are using a large number of bins per axis, a sparse frequency container may be advisable. The default is to use a dense frequency container.
Inputs and parameters:
In general, the default parameter values should be sufficient.
Outputs: (1) The average value of each feature. (2) The standard deviation in the values of each feature.
Web references: http://www.cssip.uq.edu.au/meastex/www/algs/algs/algs.html http://www.ucalgary.ca/~mhallbey/texture/texture_tutorial.html
Print references: Haralick, R.M., K. Shanmugam and I. Dinstein. 1973. Textural Features for Image Classification. IEEE Transactions on Systems, Man and Cybernetics. SMC-3(6):610-620.
Haralick, R.M. 1979. Statistical and Structural Approaches to Texture. Proceedings of the IEEE, 67:786-804.
R.W. Conners and C.A. Harlow. A Theoretical Comaprison of Texture Algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2:204-222, 1980.
R.W. Conners, M.M. Trivedi, and C.A. Harlow. Segmentation of a High-Resolution Urban Scene using Texture Operators. Computer Vision, Graphics and Image Processing, 25:273-310, 1984.
Definition at line 108 of file itkScalarImageTextureCalculator.h.
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Reimplemented from itk::Object. Definition at line 115 of file itkScalarImageTextureCalculator.h. |
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Definition at line 138 of file itkScalarImageTextureCalculator.h. |
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Definition at line 140 of file itkScalarImageTextureCalculator.h. Referenced by itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::~ScalarImageTextureCalculator(). |
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Definition at line 139 of file itkScalarImageTextureCalculator.h. |
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Definition at line 141 of file itkScalarImageTextureCalculator.h. |
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Definition at line 142 of file itkScalarImageTextureCalculator.h. Referenced by itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::~ScalarImageTextureCalculator(). |
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Definition at line 123 of file itkScalarImageTextureCalculator.h. |
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Definition at line 136 of file itkScalarImageTextureCalculator.h. |
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Definition at line 134 of file itkScalarImageTextureCalculator.h. |
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Definition at line 125 of file itkScalarImageTextureCalculator.h. |
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Definition at line 124 of file itkScalarImageTextureCalculator.h. |
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Definition at line 128 of file itkScalarImageTextureCalculator.h. |
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Definition at line 129 of file itkScalarImageTextureCalculator.h. |
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Definition at line 131 of file itkScalarImageTextureCalculator.h. Referenced by itk::Statistics::ScalarImageTextureCalculator< TImageType, THistogramFrequencyContainer >::~ScalarImageTextureCalculator(). |
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Definition at line 130 of file itkScalarImageTextureCalculator.h. |
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Definition at line 127 of file itkScalarImageTextureCalculator.h. |
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Reimplemented from itk::Object. Definition at line 114 of file itkScalarImageTextureCalculator.h. |
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Standard typedefs Reimplemented from itk::Object. Definition at line 112 of file itkScalarImageTextureCalculator.h. |
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Reimplemented from itk::Object. Definition at line 113 of file itkScalarImageTextureCalculator.h. |
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Triggers the computation of the features |
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Return the feature means and deviations.
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Return the feature means and deviations.
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Run-time type information (and related methods). Reimplemented from itk::Object. |
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Set the offsets over which the co-occurrence pairs will be computed. Optional; for default value see above. |
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Set the desired feature set. Optional, for default value see above. |
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standard New() method support 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::Object. |
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Connects the mask image for which the histogram is going to be computed. Optional; for default value see above. |
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Connects the input image for which the features are going to be computed |
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Set the pixel value of the mask that should be considered "inside" the object. Optional; for default value see above. |
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Set number of histogram bins along each axis. Optional; for default value see above. |
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Set the offsets over which the co-occurrence pairs will be computed. Optional; for default value see above. |
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Set the min and max (inclusive) pixel value that will be used for feature calculations. Optional; for default value see above. |
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Set the desired feature set. Optional, for default value see above. |