期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：6
页码：12327-12332
出版社：IJECS
摘要：Image segmentation is the process of partitioning a digital image into multiple segments to simplify the representation of an imageinto something that is more meaningful and easier to analyze. In this paper, various techniques of image segmentation are discussed andcompared with the basic parameters. Medical images are generally characterized by multiple regions, and weak edges. When regions inmedical images are made up of homogeneous group of intensities, it becomes more difficult to analyze because different organs oranatomical structures may have similar gray level or intensity representation. Practically Multi Thresholding, Correlation Matching, FCM,KFCM and PFCM have been evaluated and the results obtained shows that Multi Thresholding is the most efficientas it is less prone to errors
关键词：Hybrid Multi level Segmentation; Multi;Thresholding; Medical Images; Correlation matching; FCM;KFCM; PFCM.
