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
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;
Conference_Titel :
Cellular Neural Networks and Their Applications Proceedings, 1998 Fifth IEEE International Workshop on
Conference_Location :
London
Print_ISBN :
0-7803-4867-2
DOI :
10.1109/CNNA.1998.685394