Image Binarization Processing

Image binarization processing involves setting pixel grayscale values to either 0 or 255, transforming the image into a distinct black-and-white representation. By selecting an appropriate threshold value, a binarized image that preserves both global and local characteristics of the original image can be obtained. This process typically utilizes thresholding algorithms like Otsu's method or adaptive thresholding in implementation.