期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：5
页码：5128-5132
出版社：TechScience Publications
摘要：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.
关键词：Region Merging; Image Segmentation; Probabilistic;Graphical Model (PGM); Region Merging; Unified Graphical;Model (UGM).
