首页 | 官方网站   微博 | 高级检索  
     

模糊包含度在图像分割中的应用
引用本文:吴成茂.模糊包含度在图像分割中的应用[J].计算机工程与应用,2007,43(25):54-56.
作者姓名:吴成茂
作者单位:西安邮电学院,信息与控制系,西安,710061
摘    要:图像分割是图像分析、理解和机器视觉的基础。由于人眼视觉的主观性使得图像比较适合使用模糊技术进行处理。基于模糊集的包含度理论,定义了图像分割选取阈值的准则函数。实验结果表明,提出的图像阈值化分割方法是可行的,且分割性能明显优于基于模糊熵或贴近度的分割法。

关 键 词:图像分割  阈值法  包含度  模糊熵  隶属函数
文章编号:1002-8331(2007)25-0054-03
修稿时间:2006-12

Fuzzy subsethood applied in image segmentation
WU Cheng-mao.Fuzzy subsethood applied in image segmentation[J].Computer Engineering and Applications,2007,43(25):54-56.
Authors:WU Cheng-mao
Affiliation:Department of Information and Control,Xi’an Institute of Posts and Telecommunications,Xi’an 710061,China
Abstract:Image segmentation is the fundament of image analysis,understanding and machine vision.To consider man’s vision subjective,image processing is suitable to use fuzzy techniques.In this paper,the criteria function of choosing image segmentation threshold is defined on the base of fuzzy set’s subsethood theory.Experimental results show that image by thresholding segmentation method based on subsethood theory is feasible,and the segmentation performance of it is obviously better than that of thresholding method based on fuzzy entropy or similarity.
Keywords:image segmentation  thesholding method  subsethood  fuzzy entropy  friendship function
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《计算机工程与应用》浏览原始摘要信息
点击此处可从《计算机工程与应用》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号