Anti-aliased GLCM textural analysis
Standard GLCM textural analysis often doesn't give good results unless a large number of global classes are used (and using a large number of classes brings other problems). Using local classes helps, but the results are sensitive to noise. This program uses unweighted area sampling to vastly improve the result of both global and local GLCM textural analysis. See;
Cooper, G.R.J., 2009. The Antialiased Textural Analysis of Aeromagnetic Data. Computers & Geosciences v.35, p.586-591.
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Cite As
Gordon Cooper (2024). Anti-aliased GLCM textural analysis (https://www.mathworks.com/matlabcentral/fileexchange/23858-anti-aliased-glcm-textural-analysis), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Texture Analysis >
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