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

fYear

1994

fDate

19-23 Sep 1994

Firstpage

37

Lastpage

40

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;

fLanguage

English

Publisher

ieee

Conference_Titel

ASIC Conference and Exhibit, 1994. Proceedings., Seventh Annual IEEE International

Conference_Location

Rochester, NY

Print_ISBN

0-7803-2020-4

Type

conf

DOI

10.1109/ASIC.1994.404614

Filename

404614