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Proceedings Paper

The performance evaluations of the correlations of digital images - using figures of merit
Author(s): Firooz A. Sadjadi; E. L. Hall
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Paper Abstract

The performance of two dimensional correlations applied to a set of images of a scene, each exhibiting a different characteristic of it, is presented. The probability density function for the correlation output is assumed to be Gaussian. Both edge and area correla-tions are used. The Bayes probability of error, Chernoff and Bhattacharyya error bounds and Fisher's criteria are used as figures of merit to characterize the performance of the matching algorithm. Empirical results are given for a set of four images of a scene, i.e., down-looking, target-looking, real and synthetic images. These results show that for real images the target-looking view has better performance than the down-looking view and for synthetic images the down-looking view outperforms the target-looking view.

Paper Details

Date Published: 23 December 1980
PDF: 6 pages
Proc. SPIE 0238, Image Processing for Missile Guidance, (23 December 1980); doi: 10.1117/12.959178
Show Author Affiliations
Firooz A. Sadjadi, The University of Tennessee (United States)
E. L. Hall, The University of Tennessee (United States)

Published in SPIE Proceedings Vol. 0238:
Image Processing for Missile Guidance
Thomas F. Wiener, Editor(s)

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