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Proceedings Paper

Stochastic Image Algebra For Multisensor Fusion And Spatial Reasoning: A Neural Approach
Author(s): Su-shing Chen
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Paper Abstract

Due to the incomplete and partial nature of information in the computer vision, multisensor fusion and spatial reasoning problem domains, the image algebra is extended to a stochastic image algebra and a stochastic world model. These stochastic models provide a systematic approach to the parallel or neural network implementation of algorithms in computer vision, multisensor fusion and spatial reasoning.

Paper Details

Date Published: 30 August 1989
PDF: 10 pages
Proc. SPIE 1098, Aerospace Pattern Recognition, (30 August 1989); doi: 10.1117/12.960433
Show Author Affiliations
Su-shing Chen, University of North Carolina-Charlotte (United States)

Published in SPIE Proceedings Vol. 1098:
Aerospace Pattern Recognition
Marshall R. Weathersby, Editor(s)

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