Gray-Level Co-occurrence Matrix (GLCM) Related Resources

This article provides resources related to Gray-Level Co-occurrence Matrix (GLCM), including MATLAB code for generating GLCM, the missing graycomatrix.m file from MATLAB 7 toolbox, and a MATLAB program for feature extraction using GLCM. The program implements algorithms to extract over 20 distinct texture features (such as contrast, correlation, energy, and homogeneity) from co-occurrence matrices, allowing users to customize feature selection based on their specific requirements. The code includes functions for calculating second-order statistical features that characterize texture patterns through spatial relationships between pixel intensities. Additionally, we provide relevant examples to help users better understand how to utilize these resources effectively. The implementation covers key steps including matrix normalization, distance and angle parameter configuration, and feature calculation methodologies. If you have any questions or require further assistance, please feel free to contact us. We are committed to providing the best possible support for your texture analysis projects.