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Proceedings Paper

Location of target in correlated background with the SIR processor
Author(s): Frederic Guerault; Philippe Refregier
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Paper Abstract

In this paper, we address the problem of the localization of a target with random grey levels appearing on a random background. The optimal processor for any white Gaussian statistics of the target's and the background's grey levels is the white Gaussian -statistically independent region processor. If the statistics of the grey levels of the input image are no white, it is shown that a whitening preprocessing can allow one to model with a a good approximation the statistics of the preprocessed image by three white Gaussian probability density functions, which characterize the target, the background and the boundary between the target and the background in the preprocessed image. The preprocessing can thus generalize the domain of application of the statistically independent region processors.

Paper Details

Date Published: 19 August 1997
PDF: 9 pages
Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); doi: 10.1117/12.281294
Show Author Affiliations
Frederic Guerault, Ecole Nationale Superieure de Physique de Marseille (France)
Philippe Refregier, Ecole Nationale Superieure de Physique de Marseille (France)


Published in SPIE Proceedings Vol. 3101:
New Image Processing Techniques and Applications: Algorithms, Methods, and Components II
Philippe Refregier; Rolf-Juergen Ahlers, Editor(s)

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