A neural-net board system for machine vision applications

Author

Graf, H.P. ; Janow, R. ; Nohl, C.R. ; Ben, J.

Author_Institution

AT&T Bell Lab., Holmdel, NJ, USA

Volume

i

fYear

1991

fDate

8-14 Jul 1991

Firstpage

481

Abstract

The authors describe a board system that integrates an analog neural net chip with a digital signal processor and fast memory. This system is in use as a coprocessor of a workstation where it accelerates computationally-intensive tasks for machine vision. A software environment has been developed to support image processing and testing of the system. The system was used to develop an application where the neural net determines the position and size of characters in complex images. For this task an increase in speed of a factor over 1000 over a workstation was achieved

Keywords

add-on boards; analogue circuits; computer vision; computerised picture processing; digital signal processing chips; neural nets; satellite computers; analog neural net chip; character position determination; character size determination; computationally-intensive tasks; coprocessor; digital signal processor; fast memory; image processing; machine vision applications; neural-net board system; software environment; system testing; workstation; Acceleration; Application software; Computer vision; Coprocessors; Digital signal processors; Image processing; Machine vision; Neural networks; Software testing; Workstations;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on

Conference_Location

Seattle, WA

Print_ISBN

0-7803-0164-1

Type

conf

DOI

10.1109/IJCNN.1991.155226

Filename

155226