Image Texture for Region Classification

Version 1.0.0 (178 KB) by Meg Noah
Graylevel images can be segmented, characterized by their local texture.
1.0
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Updated 11 Jun 2020

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Texture metrics are computed and then used to characterize textures.
Here, Laws operators, Haralick GLCM metrics, and Fractal Dimensions are computed for sliding or stepping average regions.
The results are used to create a classification map.

Cite As

Meg Noah (2026). Image Texture for Region Classification (https://uk.mathworks.com/matlabcentral/fileexchange/76814-image-texture-for-region-classification), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2020a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0