Optoelectronic implementation of a multifunction cellular neural network

Author

Hung, K.S. ; Curtis, K.M. ; Orton, J.W.

Author_Institution

Dept. of Electr. & Electron. Eng., Nottingham Univ., UK

Volume

43

Issue

8

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

601

Lastpage

608

Abstract

A multifunction optoelectronic cellular neural network (OECNN) that combines an electronic CNN and metal-semiconductor-metal photodiodes (MSMPD´s), is proposed in this brief. It has advantages in processing speed, circuit simplification (19 MOS transistors for each cell), and multifunction ability. The network architecture and cell design are presented and discussed. Finally, it is applied to three examples of image processing namely edge detection, shadow creation, and noise removal. Using HSPICE to simulate one 7×9 array and one 16×16 array we verify the multi functionality of the OECNN even under 10% variations in the MSMPD´s characteristics

Keywords

SPICE; cellular neural nets; edge detection; image restoration; integrated optoelectronics; neural chips; optical neural nets; photodiodes; HSPICE simulation; MOS transistors; array; edge detection; electronic CNN; image processing; metal-semiconductor-metal photodiodes; multifunction optoelectronic cellular neural network; noise removal; shadow creation; CMOS technology; Cellular neural networks; Circuit simulation; Image edge detection; Image processing; MOSFETs; Photodiodes; Semiconductor device modeling; Variable structure systems; Voltage control;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.532007

Filename

532007