Cellular neural network in image filtration tasks

Author

Khryasshyov, Vladimir V. ; Sautov, Eugene Yu ; Sokolenko, Egor A.

Author_Institution

Yaroslavl State Univ., Russia

fYear

2002

fDate

2002

Firstpage

267

Lastpage

270

Abstract

The mathematical model of cellular neural network (CNN) working in discrete time is considered. The possibility of such devices for computation of the convolution of two-dimensional digital signal with a given kernel is shown. The algorithm of construction of a difference equation with constant coefficient, which has the solution of the 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 is considered.

Keywords

cellular neural nets; convolution; difference equations; filtering theory; image representation; cellular neural network; constant coefficient; convolution; difference equation; discrete time; exponential smoothing filter; hardware implementation; image filtration tasks; kernel; mathematical model; two-dimensional digital signal; Cellular neural networks; Concurrent computing; Convolution; Difference equations; Filtration; Image processing; Intelligent networks; Smoothing methods; Telecommunication computing; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems for Communications, 2002. Proceedings. ICCSC '02. 1st IEEE International Conference on

Print_ISBN

5-7422-0260-1

Type

conf

DOI

10.1109/OCCSC.2002.1029093

Filename

1029093