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基于云模型的模糊边缘检测
引用本文:薛丽霞,王佐成,李永树,汪林林.基于云模型的模糊边缘检测[J].西南交通大学学报,2006,41(1):85-90.
作者姓名:薛丽霞  王佐成  李永树  汪林林
作者单位:1. 西南交通大学土木工程学院,四川,成都,610031;重庆邮电学院计算机学院,重庆,400065
2. 西南交通大学土木工程学院,四川,成都,610031
3. 重庆邮电学院计算机学院,重庆,400065
基金项目:国家自然科学基金资助项目(40371098);重庆市自然科学基金资助项目(CSTC2005BB2065)
摘    要:基于云模型和模糊集理论。提出了一种新的边缘检测方法.该方法根据图像灰度。借助区域生长算法产生对象云;通过云运算生成边界云并构建模糊隶属带。进而在条件概率和模糊划分熵的基础上。根据最大模糊熵原则确定最优阈值,对图像模糊边界进行提取.试验结果表明。该算法能保留大量低灰度信息。可以获得较好的枪涮特栗.

关 键 词:云模型  对象云  模糊边界  模糊隶属带  边缘检测
文章编号:0258-2724(2006)01-0085-06
收稿时间:2005-03-30
修稿时间:2005-03-30

Fuzzy Edge Detection Based on Cloud Model
XUE Li-xia,WANG Zuo-cheng,LI Yong-shu,Wang Lin-lin.Fuzzy Edge Detection Based on Cloud Model[J].Journal of Southwest Jiaotong University,2006,41(1):85-90.
Authors:XUE Li-xia  WANG Zuo-cheng  LI Yong-shu  Wang Lin-lin
Institution:1. School of Civil Eng. , Southwest Jiaotong University, Chengdu 610031, China; 2. School of Computer Science and Technology, Chongqing Post and Telecommunication University, Chongqing 400065, China
Abstract:Based on the cloud model and the fuzzy set theory, a new edge detection method was proposed. Firstly, with this method, object clouds are generated using the region growth algorithm on the basis of the gray level of images. Secondly, boundary clouds and fuzzy membership regions for two or more clouds are obtained based on Boolean calculation. Thirdly, the optimal threshold is determined through maximizing the entropy of fuzzy partition based on conditional probabilities and eritropy of fuzzy partition. Finally, an edge detection procedure is executed on the edge images. The experimental results show that with the proposed method plenty of lower level gray can be preserved to obtain more favorable edge detection.
Keywords:cloud model  object cloud  fuzzy edge  fuzzy membership region  edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
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