Adaptive bayes image correlation

Image analysis – Pattern recognition – Template matching

Reexamination Certificate

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C706S012000, C382S159000, C382S224000

Reexamination Certificate

active

07974475

ABSTRACT:
This invention relates generally to a system and method for correlating two images for the purpose of identifying a target in an image where templates are provided a priori only for the target. Information on other objects in the image being searched may be unavailable or difficult to obtain. This invention treats the design of target matching-templates and target matched-filters for image correlation as a statistical pattern recognition problem. By minimizing a suitable criterion, a target matching-template or a target matched-filter is estimated which approximates the optimal Bayes discriminant function in a least-squares sense. Both Bayesian image correlation methods identify the target with minimum probability of error while requiring no prior knowledge of other objects in the image being searched. The system and method is adaptive in that it can be re-optimizing (adapted) to recognize the target in a new search image using only information from the new image.

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