New templates of CNN for extracting corners of objects in gray-scale images

被引：0
|
作者：
Min, LQ [1 ]
Lei, M [1 ]
Dong, XS [1 ]
机构：
[1] Univ Sci & Technol Beijing, Appl Sci Sch, Beijing 100083, Peoples R China
来源：
JOURNAL OF UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING | 2003年 / 10卷 / 03期
关键词：
cellular neural network; extract convex comers; gray-scale images;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
A new cellular neural network (CNN) with nonlinear templates is presented for extracting convex corners of objects in gray-scale images. Application examples showed that the new CNN can even detect convex corner characteristics of objects in images with Gaussian noise.
引用
收藏
页码：73 / 75
页数：3
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