MATLAB Code Implementation for Texture Calculation

This article introduces a highly practical MATLAB-based texture calculation program that computes multiple texture features including entropy, contrast, mean, and variance. These texture features constitute critical components in image processing applications, serving to characterize textural patterns and structural information within digital images. The implementation employs matrix operations and statistical functions, where entropy calculation typically involves probability distributions of gray-level co-occurrence matrices (GLCM), contrast utilizes weighted differences between pixel pairs, mean applies straightforward averaging across pixel intensities, and variance measures dispersion using standard statistical formulas. Through this program, researchers can gain deeper insights into image texture characteristics, enabling more effective analysis and interpretation of image data. The tool additionally provides efficient computation of texture features, significantly enhancing workflow efficiency and data processing capabilities through vectorized operations and built-in MATLAB optimization.