Edge Detection of Multi-scale Colour Image Based on Neighbourhood Feature

被引：0
|
作者：
Shi, Chengxiang [1 ]
机构：
[1] Chongqing Univ Educ, Dept Math & Informat Engn, Chongqing 400065, Peoples R China
来源：
INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS & STATISTICS | 2013年 / 43卷 / 13期
关键词：
multi-scale analysis; feature neighbourhood; fuzzy dissimilarity; edge detection; clustering;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In order to improve general adaptive capability of algorithm, a new multi-scale color image edge detection algorithm based on neighborhood feature is proposed. Based on the theory of multi-scale, with the help of neighborhood characteristics and fuzzy dissimilarity function algorithm accurately extract the edge. Compared with traditional edge detection algorithm based on neighborhood characteristics of multi-scale color image edge detection algorithm maximum extent retains the color information, and to achieve the adaptive color image edge extraction. The experimental results show that the method take full advantage of color information, the color image edge extraction has good detection precision and accuracy.
引用
收藏
页码：30 / 36
页数：7
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