Cellular neural network in image filtration tasks

被引：0

作者：

Khryasshyov, VV ^{[1
]}

Sautov, EY ^{[1
]}

Sokolenko, EA ^{[1
]}

机构：

[1] Yaroslavl State Univ, Yaroslavl, Russia

来源：

1ST IEEE INTERNATIONAL CONFERENCE ON CIRCUITS AND SYSTEMS FOR COMMNICATIONS, PROCEEDINGS | 2002年

关键词：

image processing; cellular neural network computation of convolution; difference equation; noise smoothing;

D O I：

10.1109/OCCSC.2002.1029093

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The mathematical model of cellular neural network (CNN) working in discrete time is considered. The possibility of such devices for computation the convolution of two-dimensional digital signal with a given kernel is showed. The algorithm of construction of a difference equation with constant coefficient, which has the solution of a demanded convolution is given. The hardware implementation of this equation is given the structure of CNN. Model of an exponential smoothing filter of two-dimensional digital signal explicitly is considered.

引用

页码：267 / 270

页数：4