Texture Classification using the Non-Extensive entropy as a regularity index

Version 1.0.0.0 (2 KB) by Seba Susan
single-feature based texture classification
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Updated 30 Dec 2014

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This program uses the Non-Extensive entropy with Gaussian Information Gain for
identifying and classifying regular textures which contain repetitive
patterns correlated over space that translates to high probabilities in the gray level co-occurrence matrix

Cite As

Seba Susan (2025). Texture Classification using the Non-Extensive entropy as a regularity index (https://in.mathworks.com/matlabcentral/fileexchange/48906-texture-classification-using-the-non-extensive-entropy-as-a-regularity-index), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0.0