A Review on Image Segmentation Techniques

Image segmentation is one of the most essential segment in numerous image processing and computer vision tasks. It is a process which divides a given image into different regions and objects. It has now become a bloom field of research in computer vision. In this paper, the different techniques of image segmentation i.e. edge based segmentation, region based segmentation, thresholding based segmentation, clustering based segmentation, and also the diagrammatic difference between the all these four technique, are reviewed. There are many image segmentation techniques available, but there is no single technique suitable for all the applications due to the variation in quality of an image and the variability in shape of an image. Hence one has to choose the technique according to the requirement of the applications. Keywords— Image Segmentation; Image; edge detection; Thresholding; Cluster; K-means;