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Proceedings Paper

Application of the mathematical theory of evidence to the image cueing and image segmentation problem
Author(s): Hamid Rasoulian; Wiley E. Thompson; Louis F. Kazda; Ramon Parra-Loera
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Paper Abstract

In electronic vision systems, locating regions of interest-a process referred to as cueing-allows the computing power of the vision system to be focused on small regions rather than the entire scene. The purpose of this paper is to illustrate the ability of a new technique to locate regions that may contain objects of interest. This technique employs the mathematical theory of evidence to combine evidence received from disparate sources. Here the evidence consists of the images obtained from two sources: laser radar range and laser radar amplitude. The mean values of the super pixel gray levels for the two images are calculated and combined based on the Dempster-Shafer rule of combination.

Paper Details

Date Published: 1 September 1990
PDF: 8 pages
Proc. SPIE 1310, Signal and Image Processing Systems Performance Evaluation, (1 September 1990); doi: 10.1117/12.21811
Show Author Affiliations
Hamid Rasoulian, New Mexico State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)
Louis F. Kazda, New Mexico State Univ. (United States)
Ramon Parra-Loera, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 1310:
Signal and Image Processing Systems Performance Evaluation
Hatem N. Nasr; Firooz A. Sadjadi, Editor(s)

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