26 August 1996 Optimal location of an object with unknown Gaussian random luminance on an unknown Gaussian random background
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francois Goudail, 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); doi: 10.1117/12.248555; https://doi.org/10.1117/12.248555
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