Otsu's algorithm is an adaptive threshold segmentation algorithm. It automatically calculates the optimal threshold value based on the grayscale distribution of the image, aiming to maximize the between-class variance. This algorithm is widely used in image segmentation tasks, especially for images with bimodal grayscale histograms, and can effectively separate the foreground and background.
