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Proceedings Paper

Task Specific Complexity Metrics For Electronic Vision
Author(s): Jeffrey J Carlson; Jay B Jordan; Gerald M Flachs
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Paper Abstract

This paper presents a mathematical basis for establishing achievable performance levels for multisensor electronic vision systems. A random process model of the multisensor scene environment is developed. The concept of feature space and its importance in the context of this model is presented. A set of complexity metrics used to measure the difficulty of an electronic vision task in a given scene environment is developed and presented. These metrics are based on the feature space used for the electronic vision task and the a priori knowledge of scene truth. Several applications of complexity metrics to the analysis of electronic vision systems are proposed.

Paper Details

Date Published: 24 June 1988
PDF: 9 pages
Proc. SPIE 0901, Image Processing, Analysis, Measurement, and Quality, (24 June 1988); doi: 10.1117/12.944702
Show Author Affiliations
Jeffrey J Carlson, New Mexico State University (United States)
Jay B Jordan, New Mexico State University (United States)
Gerald M Flachs, New Mexico State University (United States)

Published in SPIE Proceedings Vol. 0901:
Image Processing, Analysis, Measurement, and Quality
Gary W. Hughes; Patrick E. Mantey; Bernice E. Rogowitz, Editor(s)

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