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Proceedings Paper

Image Registration Using Material Information
Author(s): Firooz A. Sadjadi; Ernest L. Hall
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Paper Abstract

In studying the performance of any matching technique for image registration it is important to select an appropriate reference image. In this paper a set of a priori probabilities of detection based on explicit information about the materials which surround the edges is used in a strategy for reference selection. This set of a priori probabilities of detection is obtained by finding the frequency of occurence of material edges. The correlation results for three edges, each belonging to a different material class, are presented. The results of two criteria for optimum reference selection, namely the Neyman-Pearson and the ideal observer, are used to show that the best choice appears to be a compromise. This minimizes the total probability of error while giving a higher probability of correct acquisition for a fixed probability of false alarm.

Paper Details

Date Published: 21 February 1980
PDF: 6 pages
Proc. SPIE 0205, Image Understanding Systems II, (21 February 1980); doi: 10.1117/12.958173
Show Author Affiliations
Firooz A. Sadjadi, University of Tennessee (United States)
Ernest L. Hall, University of Tennessee (United States)


Published in SPIE Proceedings Vol. 0205:
Image Understanding Systems II
Carol Clark, Editor(s)

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