An analog VLSI massively parallel module for low-level cortical processing in machine vision

Author

Bisio, Giacomo M. ; Bruccoleri, Melchiorre ; Cusinato, Paolo ; Raffo, Luigi ; Sabatini, Silvio P.

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

1994

fDate

26-28 Sep 1994

Firstpage

207

Lastpage

211

Abstract

A new approach to analog VLSI implementations of algorithms for visual cortical processing is presented. Specifically, we introduce a massively parallel architecture, organized as a planar resistive network with voltage controlled current generators locally connected to model interaction schemata responsible for specific sensitivities in cortical neurons. We demonstrate the feasibility of this approach by designing and simulating 24×24 node analog modules implementing Gabor-like oriented receptive fields, that can be used in machine vision real time systems to evidence texture differences

Keywords

VLSI; analogue processing circuits; computer vision; image segmentation; image texture; neural chips; parallel architectures; real-time systems; Gabor-like oriented receptive fields; analog VLSI; interaction schemata; low-level cortical processing; machine vision; massively parallel module; planar resistive network; real time systems; texture differences; voltage controlled current generators; Convolution; Data mining; Hardware; Machine vision; Neurons; Real time systems; Resistors; Signal processing algorithms; Very large scale integration; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Microelectronics for Neural Networks and Fuzzy Systems, 1994., Proceedings of the Fourth International Conference on

Conference_Location

Turin

Print_ISBN

0-8186-6710-9

Type

conf

DOI

10.1109/ICMNN.1994.593711

Filename

593711