Segmentation of Natural Images Using Hsl Color Space Based on K-Mean Clustering

Image segmentation is one of the important part in image processing. Image segmentation is a process that divides the image into several parts according to its shape, pixel intensity, region formation or by other features. Image segmentation is the process which comes after the image compression and is followed by the various description parameters. In this paper we discuss algorithm to segment natural image using Hsl color space based on the k-mean clustering method. The basic goal of image segmentation is to the convert the given sample image into somewhat more meaningful and understandable, As well as in understanding high level process such as robotics, face recognition, leaf structure study etc.