彩色图象分割方法及进展  

Methods and Advances on Color Image Segmentation

作　　者：郝海涛[1,2] 田玉敏[1] 

机构地区：[1]西安电子科技大学计算机学院 [2]山西师范大学数学与计算机科学学院,山西临汾041000

出　　处：《山西师范大学学报（自然科学版）》2005年第1期64-68,共5页Journal of Shanxi Normal University(Natural Science Edition)

摘　　要：图象分割是图象分析和模式识别的首要问题和基本问题,也是图象处理的经典难题.彩色图象比灰度图象具有更多的视觉信息,因而受到了越来越多的重视.本文结合近年来彩色图象分割中出现的新算法,将彩色图象的分割方法分为四大类,并分别加以介绍,分析了各种方法的优缺点,最后指出了彩色图象分割的发展趋势.Image segmentation is the first essential and fundamental issue in image analysis and pattern recognition .It is also a classical difficult problem in image processing. The color images with more vision information than gray ones are becoming increasingly concerned.Combining the new methods here various segmentation methods to color images are summarized to four classes. The four classes are introduced and their advantage and disadvantage are illuminated. In the end , the prospect of color image segmentation are mentioned.

关 键 词：彩色图象 分割方法 图象分割 图象处理 模式识别 新算法 灰度图象 视觉信息 

分 类 号：N1[自然科学总论] TP391[自动化与计算机技术—计算机应用技术]