Implementation of gray-level clustering algorithm for image segmentation

The watershed algorithm is an important technique for image segmentation which converts the gray-level image to a segmented image. We propose a watershed algorithm based on the mean value, the standard deviation of the histogram and the PSNR within a sub-interval, a novel recursive algorithm for deriving clustered images that is also used to increase the quality of an image. The clustered images using the watershed algorithm produce close results to that of the original image.