A comparative review of various segmentation methods and its application

Image segmentation has been a subject of interest for researchers and engineers for quite a while. Its wide applicability in different fields makes it even more popular. It is a process of dividing an image into different segments which together form the complete image. Segmentation of image results in the formation of set of contours on the basis of different properties and characteristics of the pixels forming the image like texture, intensity and colors. Different regions are separated from each other depending on these parameters. There are various methods proposed for the process of image segmentation. In this paper we discuss the various algorithms proposed for the process and the algorithms further proposed in order to apply in the fields like medical imaging, edge detection, object tracking X-radiology and agriculture.