Texture Feature Extraction Based on Gray-Level Co-occurrence Matrix
Texture feature extraction using Gray-Level Co-occurrence Matrix (GLCM) that outputs sixteen feature values across four directional orientations of the image
Explore MATLAB source code curated for "纹理特征提取" with clean implementations, documentation, and examples.
Texture feature extraction using Gray-Level Co-occurrence Matrix (GLCM) that outputs sixteen feature values across four directional orientations of the image
Texture feature extraction with comparative program implementations, suitable for feature extraction in graphics and image processing applications.
MATLAB-based texture feature extraction using gray-level co-occurrence matrix for image pattern analysis
Comprehensive implementation of image processing techniques including Gaussian Markov Random Field (GMRF), Hidden Markov Tree (HMT), Laws texture energy measures, and fractal box dimension analysis for texture characterization