Gray-Level Co-occurrence Matrix for Texture Extraction

The Gray-Level Co-occurrence Matrix (GLCM) is a powerful method for texture extraction that effectively characterizes the gray-level relationships between pixels in an image. This technique extracts texture features by calculating the statistical relationships between each pixel and its neighboring pixels' gray values. These features are widely used in applications such as image classification, object recognition, and content-based image retrieval. By adjusting GLCM parameters including direction (0°, 45°, 90°, 135°) and pixel distance, texture features at different orientations and scales can be obtained. In practical implementation, the GLCM algorithm typically involves image quantization to reduce gray levels, matrix computation using spatial relationships, and feature extraction through statistical measures like contrast, correlation, energy, and homogeneity. This makes GLCM an essential tool for comprehensive analysis and understanding of texture information in digital images.