Title :
Image processing using hysteretic cellular neural networks
Author_Institution :
Fac. of Electron. & Telecommun., Tech. Univ. of Iasi, Romania
Abstract :
In this paper a CNN with a particular hysteresis nonlinear cell characteristic is proposed. The system dynamic evolution and behavior is briefly described and the equilibrium points are analyzed. Then some possible applications of this kind of CNN in image processing are presented, accompanied by analytical template parameter determination and simulation results
Keywords :
cellular neural nets; edge detection; filtering theory; image morphing; analytical template parameter determination; equilibrium points; hysteretic cellular neural networks; image processing; nonlinear cell characteristic; simulation results; system dynamic evolution; Analytical models; Cellular neural networks; Hysteresis; Image analysis; Image edge detection; Image processing; Maximum likelihood detection; Neural networks; Nonlinear dynamical systems; Signal processing;
Conference_Titel :
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location :
Geneva
Print_ISBN :
0-7803-5482-6
DOI :
10.1109/ISCAS.2000.858705
