彩色图像分割算法研究与费歇算法应用  

Research on Color Image Segmentation and the Application of Fisher Algorithm

作　　者：郑友莲[1] 樊俊青[2] 

机构地区：[1]湖北大学数学与计算机科学学院,武汉430062 [2]中国地质大学计算机学院,武汉430074

出　　处：《海军航空工程学院学报》2008年第4期436-438,共3页Journal of Naval Aeronautical and Astronautical University

基　　金：湖北省自然科学基金(2007ABA044)

摘　　要：图像分割是图像分析和模式识别需要解决的首要问题和经典难题。彩色图像比灰度图像具有更多的视觉信息，因而受到了越来越多的重视。文中对各种彩色图像分割方法进行了系统论述，分析了各种方法的优缺点，重点介绍了费歇算法。该算法能有效地对彩色图像进行分割，在工业实践中取得了比较好的效果。Image segmentation is the principal problem and classical difficulty needed to been settled in image analysis and pattern recognition. There is more visual information in color image than in gray image, so the former has drawn more and more attention. In this paper, various methods about color image segmentation were discussed systematically, and the advantages and disadvantages of each method were analyzed. Especially focusing on the Fisher algorithm, which can be effectively used in color image segmentation and has had a good effect on industrial practice

关 键 词：彩色图像分割 数学形态学 模糊技术 费歇算法 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]