Title :
A programmable analogue CMOS chip for high speed image processing based on cellular neural networks
Author :
Kinget, Peter ; Steyaert, Michiel
Author_Institution :
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
Abstract :
This paper describes an analogue CMOS VLSI chip which implements a 4×4 continuous time cellular neural network (CNN) with programmable templates. With a new programmable current mirror circuit, the individual template values can be continuously set between 4 and 1/4 and the sign can be switched. Measurements are presented for the operation of the chip as a connected component detector, holefiller and shadow maker. It is demonstrated that this chip can be considered as an analogue programmable image processor. The programmable templates are to CNNs what instructions are to a microprocessor
Keywords :
CMOS analogue integrated circuits; VLSI; analogue processing circuits; cellular neural nets; video signal processing; VLSI; cellular neural networks; connected component detector; current mirror circuit; high speed image processing; holefiller; programmable analogue CMOS chip; programmable templates; shadow maker; CMOS process; Capacitors; Cellular neural networks; Circuit optimization; Image edge detection; Image processing; Integrated circuit interconnections; Turing machines; Very large scale integration; Voltage;
Conference_Titel :
Custom Integrated Circuits Conference, 1994., Proceedings of the IEEE 1994
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-1886-2
DOI :
10.1109/CICC.1994.379657