Calculation of Gray-Level Co-occurrence Matrix

This document presents a computational implementation for gray-level co-occurrence matrix (GLCM) calculation, comprising multiple modular subroutines designed for texture analysis applications. Texture analysis utilizes statistical texture features extracted from images to characterize visual patterns. The implementation involves key algorithmic components including pixel pair enumeration with specified displacement vectors, intensity level quantization, and symmetric matrix normalization. These matrices can be extensively applied across medical imaging, industrial manufacturing, and geological exploration domains. Consequently, this program offers broad utility for researchers and engineers working with texture-based image classification. Furthermore, the modular architecture provides significant optimization potential, allowing for continuous enhancements such as parallel processing implementations and dynamic quantization schemes to accommodate diverse application scenarios.