A COMPARATIVE ANALYSIS OF IMAGE SEGMENTATION TECHNIQUES

Nowadays image processing occupies a dynamic role in every area. Image processing refers to progress the images and mine attributes from images for various process. Image segmentation is one of the processes of image processing which is used to segregate an image into different homogenous segments. It is an essential process of pixel clustering, partitions raw image into non-overlapping regions. Image segmentation plays an important role in almost all image processing applications. This paper focuses to provide an overview of the literature in image segmentation with various techniques implemented in them, their merits and demerits etc. Comparison based on accuracy was also done to prove the efficiency of the various techniques for image segmentation. The comparison results show the best image segmentation method among them.