The performance evaluations of the correlations of digital images - using figures of merit

Firooz A. Sadjadi; E. L. Hall

doi:10.1117/12.959178

23 December 1980 The performance evaluations of the correlations of digital images - using figures of merit

Firooz A. Sadjadi, E. L. Hall

Proceedings Volume 0238, Image Processing for Missile Guidance; (1980) https://doi.org/10.1117/12.959178
Event: 24th Annual Technical Symposium, 1980, San Diego, United States

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.

Citation Download Citation

Firooz A. Sadjadi and E. L. Hall "The performance evaluations of the correlations of digital images - using figures of merit", Proc. SPIE 0238, Image Processing for Missile Guidance, (23 December 1980); https://doi.org/10.1117/12.959178

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