Optimal location of an object with unknown Gaussian random luminance on an unknown Gaussian random background

Francois Goudail; Philippe Refregier

doi:10.1117/12.248555

26 August 1996 Optimal location of an object with unknown Gaussian random luminance on an unknown Gaussian random background

Francois Goudail, Philippe Refregier

Author Affiliations +

Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996) https://doi.org/10.1117/12.248555
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

We provide a first approach to the problem of the detection of an object with random gray levels appearing on a random background. The optimal algorithm in the case where the gray levels of both the object and the background are white Gaussian noises is derived using a maximum likelihood technique. It is shown that this algorithm consists of correlations of the silhouette of the reference object with preprocessed versions of the scene image. This enables simple digital or optical implementation.

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Francois Goudail and Philippe Refregier "Optimal location of an object with unknown Gaussian random luminance on an unknown Gaussian random background", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); https://doi.org/10.1117/12.248555

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