Mean Thresholding is a simple image segmentation technique that converts a grayscale image into a binary image by setting a threshold equal to the mean pixel intensity value. Pixels with intensity above the mean are set to one value (e.g., white), and those below the mean are set to another (e.g., black), effectively separating the image into two distinct regions.