Nonredundant filters for pattern recognition and orientation estimation of rotated images.
We describe a method to implement the recognition and the orientation determination of in-plane rotated images by means of nonredundant correlation filters which maximize the number of discernible patterns. The filters are computed with the minimum averaged correlation energy algorithm on specifically prefiltered reference images, with a view to the foreseen application, to reduce the intraclass sensitivity and improve the interclass discrimination. Simulation results of the correlation are provided and compared with those obtained with the standard minimum averaged correlation energy filters.
Dubois
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