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Proceedings Paper

Knowledge Based Image Understanding
Author(s): Michael G. Thomason
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Paper Abstract

In state-of-the-art research, the difficult task of image understanding by computer can be organized as a hierarchy of algorithms applied to image data at low, mid, and high levels of processing. This paper discusses aspects of design and implementation of this kind of multilevel system. A project in knowledge-based interpretation of satellite IR data of the Atlantic Ocean illustrates the ideas.

Paper Details

Date Published: 29 March 1988
PDF: 3 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.947012
Show Author Affiliations
Michael G. Thomason, The University of Tennessee (United States)
Perceptics Corporation (United States)


Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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