Proposed Method for Image Segmentation Using Similarity Based Region Merging Techniques

Image Segmentation is a technique that partitioned the digital image into many number of homogeneous regions or sets of homogeneous pixels is called image segmentation. Efficient and effective image segmentation is an important task in computer vision and object recognition. Since fully automatic image segmentation is usually very hard for natural images, interactive schemes with a few simple user inputs are good solutions. In this paper we presents image segmentation using similar region merging and comparison among different interactive image segmentation techniques. Segmentation should stop as object of interest in an application is isolated. The ultimate goal is to make the image more simplified and that to get more meaningful to analyze. This paper deals with the several segmentation techniques using human interactions models like PGM, Bayesian Networks Unified Graphical Models, Similar region merging etc., are taken from the literature are reviewed and a new interactive method of image segmentation is proposed using similar region merging.