Gray-Level Co-occurrence Matrix Features and Calculation of Related Parameters

This document introduces a MATLAB-implemented program for calculating gray-level co-occurrence matrix (GLCM) features and associated parameters, designed to assist researchers in image analysis tasks. The program extracts texture features through GLCM computation, enabling applications in image classification, recognition, and retrieval systems. Key algorithmic implementations include pixel-pair relationship analysis with adjustable parameters such as distance and orientation offsets (e.g., using MATLAB's graycomatrix function). The framework incorporates feature calculations like contrast, correlation, energy, and homogeneity through statistical processing of co-occurrence probabilities. Parameter tuning mechanisms allow optimization of computational accuracy and stability, making it a valuable tool for engineers and researchers to analyze image data effectively. The code structure supports customizable distance metrics and angle configurations for adaptive texture characterization across different image types.