MATLAB Image Binarization: Methods and Implementation

Image binarization is a fundamental image segmentation technique where pixel intensities above a critical threshold are set to maximum grayscale value, while those below are set to minimum value. This process converts grayscale images into binary images. Based on threshold selection methods, binarization algorithms are categorized into fixed threshold and adaptive threshold approaches. Commonly used techniques include bimodal method, P-parameter method, iterative method, and OTSU method, each with specific MATLAB implementation considerations.