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基于Fuzzy聚类的Peleg-ε维数边缘提取算法
引用本文:崔泽延,王琰. 基于Fuzzy聚类的Peleg-ε维数边缘提取算法[J]. 沈阳理工大学学报, 2011, 30(4): 6-9
作者姓名:崔泽延  王琰
作者单位:沈阳理工大学信息科学与工程学院,辽宁沈阳,110159
摘    要:本算法综合了传统的利用毯子维数提取图像边缘的方法和Fuzzy聚类的方法,对具有不同维数的物体边缘进行提取。通过改进Fuzzy聚类方法,克服了传统Fuzzy聚类方法中只考虑分维谱图中像素自身而忽略分维谱图中邻近像素聚类特点的缺点;改进后的Fuzzy聚类方法同时弥补了传统的利用毯子维数提取图像边界时迭代次数过少的不足。实验结果表明,利用该算法较传统算法更好地描述了物体的边界.

关 键 词:毯子维数  Fuzzy聚类  边缘提取

An Algorithm of Edge-extraction Based on Peleg Fractal Dimension and Fuzzy Clustering
CUI Zeyan,WANG Yan. An Algorithm of Edge-extraction Based on Peleg Fractal Dimension and Fuzzy Clustering[J]. Transactions of Shenyang Ligong University, 2011, 30(4): 6-9
Authors:CUI Zeyan  WANG Yan
Affiliation:CUI Zeyan,WANG Yan(Shenyang Ligong University,Shenyang 110159,China)
Abstract:This paper proposes to combine the traditional ways of using blanket method and Fuzzy clustering method,extract the edge of image,whose fractal dimensions are different.The new way of Fuzzy clustering overcome the default of neglecting the feature of agency pixel while doing the cluster.The new way also makes up the default of not doing enough iteration,while using the traditional ways of using blanket method to extract the edge of image.The result of experiment shows that the new algorithm does much better...
Keywords:Peleg fractal dimension  Fuzzy clustering  edge-extraction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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