Texture Classification
In this project, a segmentation-based fractal texture analysis is used to classify different image textures.
The extraction algorithm consists in decomposing the input image into a set of binary images from which the fractal dimensions of the resulting regions are computed in order to describe segmented texture patterns.
The classification is performed through the use of the agglomerative hierarchical cluster tree with Inner squared distance method
Cita come
Vahid K. Alilou (2025). Texture Classification (https://it.mathworks.com/matlabcentral/fileexchange/48009-texture-classification), MATLAB Central File Exchange. Recuperato .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Classification >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Texture Analysis >
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vTexture/
vTexture/sfta/
| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0 |
|
