DocumentCode
2459507
Title
Digital image filtration on cellular neural network
Author
Khryasshyov, Vladimir V. ; Priorov, Andrey L. ; Sautov, Eugene Yu ; Sokolenko, Egor A.
Author_Institution
Yaroslavl State Univ., Russia
fYear
2002
fDate
2002
Firstpage
248
Lastpage
251
Abstract
The mathematical model of a cellular neural network (CNN) working in discrete time is considered. The possibility of such devices for computation of the convolution of a two-dimensional digital signal with a given kernel is shown. The algorithm for the construction of a difference equation with constant coefficient, which has the solution of a demanded convolution is given. The hardware implementation of this equation gives the structure of CNN. The model of an exponential smoothing filter of a two-dimensional digital signal is considered.
Keywords
cellular neural nets; convolution; difference equations; filtering theory; image processing; cellular neural network; constant coefficient; convolution; difference equation; digital image filtration; discrete time; exponential smoothing filter; mathematical model; two-dimensional digital signal; Cellular neural networks; Convolution; Difference equations; Digital filters; Digital images; Filtration; Hardware; Kernel; Mathematical model; Smoothing methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence Systems, 2002. (ICAIS 2002). 2002 IEEE International Conference on
Print_ISBN
0-7695-1733-1
Type
conf
DOI
10.1109/ICAIS.2002.1048101
Filename
1048101
Link To Document