haralickTextureFeatures
It only uses matrix products and makes calculating the GLCM fast. In version 1.x are only two foor-loops.
For better legacy you decide with the optional variable xFeature which Haralick Feature you want use.
All Haralick Features were take from the original paper. See (http://haralick.org/journals/TexturalFeatures.pdf) for more information.
Cite As
Rune Monzel (2026). haralickTextureFeatures (https://www.mathworks.com/matlabcentral/fileexchange/58769-haralicktexturefeatures), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Texture Analysis >
Tags
Acknowledgements
Inspired by: STATISTICAL MEASURES OF TEXTURE IN AN IMAGE, GLCM texture features
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.3.1.0 | - fixed feature 8 Sum Variance (thanks to Lingxuan Kong) |
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| 1.3.0.0 | fixed feature 8 Sum Variance |
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| 1.2.0.0 | - fixed and validated Haralick Feature 14 (Maximal Correlation Coefficient), but still not checked
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| 1.1.0.0 | ver 1.1
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| 1.0.0.0 |
