Optical Pattern Recognition with Spatially Disjoint Signal and Scene Noise

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9406922 Javidi Matched filter functions and optimum processors derived under the spatially overlapping input signal and scene noise assumption may not perform well in the presence of spatially disjoint input signal and scene noise, and could lead to very poor system performance. The purpose of this work is to design new optimum processors for spatially disjoint signal and scene noise. The principal investigator will consider a general model of a target in non- overlapping input scene noise where the target may include distortions such as unknown illumination, scale, rotation, etc. Overlapping noise on the target due to detector noise or other statistical fluctuations will be included in this model. It is intended to conduct theoretical, numerical, and experimental investigation of the optical pattern recognition systems which are designed in the presence of scene noise that is spatially disjoint with the target. ***