DocumentCode
2633282
Title
Image processing using time-varying cellular neural networks
Author
Al-Ani, Nasser N Kamiss ; Kacprzak, Tomasz
Author_Institution
Inst. of Electron., Tech. Univ. Lodz, Poland
fYear
1998
fDate
14-17 Apr 1998
Firstpage
319
Lastpage
324
Abstract
Properties of cellular neural networks with time-varying gain of cells in the linear part of the transfer function are studied. It is shown that this concept of the CNN dynamics provides new interesting results of image processing tasks which can be used to improve the performance. This aspect is of great importance for the design of VLSI implemented CNN chips. The new properties are documented by the theoretical analysis and computer simulations of three examples
Keywords
VLSI; cellular neural nets; dynamics; image processing; neural chips; time-varying systems; CNN dynamics; VLSI; image processing; time-varying cellular neural networks; Cellular neural networks; Computer simulation; Convolution; Electronic mail; Image processing; Information processing; Memory architecture; Signal processing; Simulated annealing; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location
London
Print_ISBN
0-7803-4867-2
Type
conf
DOI
10.1109/CNNA.1998.685394
Filename
685394
Link To Document