A Review Paper on Segmentation and Clustering Techniques

Image Segmentation process is referring to separating an image bases on some characteristics like color, quality or intensity. For improving weak edges then must use the watershed technique that is region based segmentation. But it is difficult to make a perfect segmentation [1]. For making a good result of the segmentation than improve the watershed technique with the help of clustering techniques. The new segmentation algorithm is based upon improving the watershed technique, using clustering technique. In this new work study, discussed the main aspects of algorithm with their applications, merits or demerits also. The scientific method of that technique is explained and logical detail is avoided for simplicity [4].At the end, for reducing the bluring and improving the quality of an image , than used the hybrid approach that is combination of a watershed segmentation technique with the clustering technique that produce a fuze (mixture) for providing better texture of an image segmented.