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Proceedings Paper

Prototype neural network pattern recognition testbed
Author(s): Steven W. Worrell; James A. Robertson; Thomas L. Varner; Charles G. Garvin
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Paper Abstract

Recent successes ofneural networks has led to an optimistic outlook for neural network applications to image processing(IP). This paperpresents a general architecture for performing comparative studies of neural processing and more conventional IF techniques as well as hybrid pattern recognition (PR) systems. Two hybrid PR systems have been simulated each of which incorporate both conventional and neural processing techniques.

Paper Details

Date Published: 1 February 1991
PDF: 9 pages
Proc. SPIE 1382, Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods, (1 February 1991); doi: 10.1117/12.25214
Show Author Affiliations
Steven W. Worrell, IIT Research Institute (United States)
James A. Robertson, IIT Research Institute (United States)
Thomas L. Varner, IIT Research Institute (United States)
Charles G. Garvin, Harry Diamond Lab. (United States)


Published in SPIE Proceedings Vol. 1382:
Intelligent Robots and Computer Vision IX: Neural, Biological, and 3D Methods
David P. Casasent, Editor(s)

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