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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 15, Iss. 12 — Dec. 1, 1998
  • pp: 2976–2985

Optimal algorithms for target location in nonhomogeneous binary images

Henrik Sjöberg, François Goudail, and Philippe Réfrégier  »View Author Affiliations


JOSA A, Vol. 15, Issue 12, pp. 2976-2985 (1998)
http://dx.doi.org/10.1364/JOSAA.15.002976


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Abstract

Binary images appear in various pattern recognition applications. It is thus important to design pattern recognition algorithms that are optimal for such images. We address the problem of target location in binary images perturbed with nonhomogeneous background noise. The proposed algorithm optimizes the likelihood ratio between the hypotheses that the target is present within a small subwindow of the image and that it is not present in this subwindow. The algorithm is shown to consist of two correlation operations and a few pointwise nonlinear transformations. With numerical simulations, we illustrate the efficiency of this technique, especially in the presence of strongly nonhomogeneous background noise.

© 1998 Optical Society of America

OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(070.5010) Fourier optics and signal processing : Pattern recognition

Citation
Henrik Sjöberg, François Goudail, and Philippe Réfrégier, "Optimal algorithms for target location in nonhomogeneous binary images," J. Opt. Soc. Am. A 15, 2976-2985 (1998)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-15-12-2976

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