Share Email Print

Proceedings Paper

"Real-Time Computer Vision Using Intelligent Hardware"
Author(s): Gregory M. Cox; Donald Fronek; Rahn Merrill
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Recent advances in multiprocessor techniques and high speed memory have provided the basis for new computer architectures and real-time processing. This paper will describe some special hardware implemented in a real-time vision system, and detailing real-time processing of raster algorithms in concert with a linear sensor output. The algorithms and computer architecture considerations are detailed and justified. The application of the research project details the hardware and software that are necessary to process image pixels in less than 100 nano seconds. As a result of real-time processing, a certain "intelligence" is brought to the effort in the form of object identification. During object segmentation, algorithms provide a scoring procedure which identifies features within the image. The effort is supported in part by the Army Research Office, National Science Foundation and the Earth Technology Corporation.

Paper Details

Date Published: 26 March 1986
PDF: 15 pages
Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); doi: 10.1117/12.964175
Show Author Affiliations
Gregory M. Cox, Earth Technology Corporation (United States)
Donald Fronek, Louisiana Tech University (United States)
Rahn Merrill, Earth Technology Corporation (United States)

Published in SPIE Proceedings Vol. 0635:
Applications of Artificial Intelligence III
John F. Gilmore, Editor(s)

© SPIE. Terms of Use
Back to Top