Binary image rotation using cellular neural networks

被引：0
|
作者：
Gao, Q [1 ]
Messmer, P [1 ]
Moschytz, GS [1 ]
机构：
[1] Swiss Fed Inst Technol, Signal & Informat Proc Lab, Zurich, Switzerland
来源：
2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, PROCEEDINGS | 2002年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A CNN-based rotation algorithm is presented. It is designed to rotate binary images. It works by successively shifting the black pixels on their predefined circular paths with speed adjustment. The performance of the proposed algorithm is compared with that of Matlab's rotation algorithm. Several examples are given to demonstrate the practicability of the proposed algorithm.
引用
收藏
页码：113 / 116
页数：4
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