Title :
An analog VLSI neural network for real-time image processing in industrial applications
Author :
Valle, M. ; Onorato, M. ; Oddone, F. ; Caviglia, D.D. ; Bisio, G.M.
Author_Institution :
Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy
Abstract :
In this paper we present an analog VLSI architecture that implements a neural network for image processing in industrial environment. The analog architecture is highly modular and operates in real time. The circuit implementation is based on simple and effective circuit primitives. Special care has been devoted to the analysis of the linearity and the precision of computation. A test chip, implementing the filtering stage of the architecture, has been designed and realized
Keywords :
VLSI; analogue processing circuits; image processing equipment; neural chips; real-time systems; analog VLSI neural network; circuit primitives; computation precision; filtering stage; industrial applications; linearity; real-time image processing; Circuits; Computer architecture; Image analysis; Image processing; Intelligent networks; Magnetic analysis; Neural networks; Surface cleaning; Surface cracks; Very large scale integration;
Conference_Titel :
ASIC Conference and Exhibit, 1994. Proceedings., Seventh Annual IEEE International
Conference_Location :
Rochester, NY
Print_ISBN :
0-7803-2020-4
DOI :
10.1109/ASIC.1994.404614
