#include <itkScalarImageTextureCalculator.h>
Inheritance diagram for itk::Statistics::ScalarImageTextureCalculator< TImageType >:
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.
This class is templated over the input image type.
Inputs and parameters: (1) An image (2) A mask defining the region over which texture features will be calculated. (Optional) (2a) The pixel value that defines the "inside" of the mask. (Optional, defaults to 1 if a mask is set.) (3) The set of features to be calculated. These features are defined in the GreyLevelCooccurrenceMatrixTextureCoefficientsCalculator class. (Optional, defaults to {Energy, Entropy, InverseDifferenceMoment, Inertia, ClusterShade, ClusterProminence}, as in Conners, Trivedi and Harlow.) (4) The number of intensity bins. (Optional, defaults to 256.) (5) The set of directions (offsets) to average across. (Optional, defaults to {(-1, 0), (-1, -1), (0, -1), (1, -1)} for 2D images and scales analogously for ND images.) (6) The pixel intensity range over which the features will be calculated. (Optional, defaults to the full dynamic range of the pixel type.)
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 93 of file itkScalarImageTextureCalculator.h.
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Reimplemented from itk::Object. Definition at line 100 of file itkScalarImageTextureCalculator.h. |
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Definition at line 121 of file itkScalarImageTextureCalculator.h. |
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Definition at line 122 of file itkScalarImageTextureCalculator.h. |
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Definition at line 123 of file itkScalarImageTextureCalculator.h. |
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Definition at line 124 of file itkScalarImageTextureCalculator.h. |
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Definition at line 119 of file itkScalarImageTextureCalculator.h. |
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Definition at line 117 of file itkScalarImageTextureCalculator.h. |
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Definition at line 109 of file itkScalarImageTextureCalculator.h. |
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Definition at line 108 of file itkScalarImageTextureCalculator.h. |
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Definition at line 112 of file itkScalarImageTextureCalculator.h. |
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Definition at line 113 of file itkScalarImageTextureCalculator.h. |
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Definition at line 114 of file itkScalarImageTextureCalculator.h. |
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Definition at line 111 of file itkScalarImageTextureCalculator.h. |
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Reimplemented from itk::Object. Definition at line 99 of file itkScalarImageTextureCalculator.h. |
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Standard typedefs Reimplemented from itk::Object. Definition at line 97 of file itkScalarImageTextureCalculator.h. |
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Reimplemented from itk::Object. Definition at line 98 of file itkScalarImageTextureCalculator.h. |
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Definition at line 168 of file itkScalarImageTextureCalculator.h. |
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Triggers the computation of the features |
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Run-time type information (and related methods). Reimplemented from itk::Object. |
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Return the feature means and deviations.
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Return the feature means and deviations.
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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. |