Extracting Texture Feature Parameters with GLCM Source Code

This document presents an image processing methodology focused on extracting texture feature parameters, with core implementation centered around Gray-Level Co-occurrence Matrix (GLCM) source code. The GLCM algorithm computes spatial relationships between pixel intensity pairs at specified offsets and directions, typically calculating statistical features like contrast, correlation, energy, and homogeneity from the co-occurrence matrix. Through this source code implementation, we process digital images to quantify texture characteristics by analyzing pixel neighborhood patterns. This technique finds significant applications across various domains including medical image analysis for tissue characterization and industrial quality control for surface defect detection. By quantitatively analyzing texture features through matrix-based computations, we gain deeper insights into image content, enabling more accurate classification and decision-making in computer vision systems. The development and optimization of texture feature extraction methods therefore hold substantial importance for advancing digital image processing capabilities.