23 December 1980 The performance evaluations of the correlations of digital images - using figures of merit
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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.
© (1980) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Firooz A. Sadjadi, 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); doi: 10.1117/12.959178; https://doi.org/10.1117/12.959178
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