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Sidelobe elimination for generalized synthetic discriminant functions by a two-filter correlation and subsequent postprocessing of the intensity distributions
Montes Usategui, Mario; Campos Coloma, Juan; Juvells Prades, Ignacio; Vallmitjana i Rico, Santiago
Universitat de Barcelona
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.
Reconeixement òptic de formes
Optical pattern recognition
(c) Optical Society of America, 1994
Optical Society of America

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