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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/24343
Application of fuzzy-rule-based postprocessing to correlation methods in pattern recognition
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One of the most important problems in optical pattern recognition by correlation is the appearance of sidelobes in the correlation plane, which causes false alarms. We present a method that eliminate sidelobes of up to a given height if certain conditions are satisfied. The method can be applied to any generalized synthetic discriminant function filter and is capable of rejecting lateral peaks that are even higher than the central correlation. Satisfactory results were obtained in both computer simulations and optical implementation.
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WOLF, T., et al. Application of fuzzy-rule-based postprocessing to correlation methods in pattern recognition. Applied Optics. 1996. Vol. 35, num. 35, pags. 6955-6963. ISSN 0003-6935. [consulted: 9 of October of 2026]. Available at: https://hdl.handle.net/2445/24343