Title :
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
fDate :
8/1/1996 12:00:00 AM
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;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
