Title :
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
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;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155226
