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基于聚类算法的多态单模板掩模边缘检测算法
引用本文:王众郝燕玲. 基于聚类算法的多态单模板掩模边缘检测算法[J]. 计算机应用, 2007, 27(8): 2021-2024
作者姓名:王众郝燕玲
作者单位:哈尔滨工程大学,自动化学院,哈尔滨150001
摘    要:提出了一个能够动态估计邻域中边缘位置的基于聚类算法的多态单模板掩模边缘检测算法。该算法根据估计出来的边缘位置设置模板上相应位置的权值,可以获得更为准确的差分结果。同时根据边缘的连续性,排除不连续的伪边缘,以在获取较高分辨率的同时减低噪声。实验证明基于聚类算法的多态单模板掩模边缘检测算法具有良好时实性及较高的分辨率。

关 键 词:多态  单掩模  边缘提取
文章编号:1001-9081(2007)08-2021-04
收稿时间:2007-02-27
修稿时间:2007-02-27

Polymorphisms single template masking for edge detection based on clustering algorithm
WANG Zhong,HAO Yan-lin. Polymorphisms single template masking for edge detection based on clustering algorithm[J]. Journal of Computer Applications, 2007, 27(8): 2021-2024
Authors:WANG Zhong  HAO Yan-lin
Affiliation:Automation College, Harbin Engineering University, Harbin Heilongjiang 150001, China
Abstract:A polymorphisms single template masking for edge detection algorithm based on clustering was proposed, which could dynamically estimate the edge location of the neighborhood. The algorithm would set the weight parameters on the template by evaluating the position of the possible edge, which would give a more precise result. It made it possible to reduce the noise but keep a higher resolution by debarring the fake edge according to its continuity. Experimental results prove the effectiveness of this algorithm.
Keywords:polymorphism   single template mask   edge extraction
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