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dc.contributor.authorMontes Usategui, Mario-
dc.contributor.authorCampos Coloma, Juan-
dc.contributor.authorJuvells Prades, Ignacio-
dc.contributor.authorVallmitjana i Rico, Santiago-
dc.description.abstractOne 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.-
dc.format.extent10 p.-
dc.publisherOptical Society of America-
dc.relation.isformatofReproducció del document publicat a:
dc.relation.ispartofApplied Optics, 1994, vol. 33, p. 3050-3059-
dc.rights(c) Optical Society of America, 1994-
dc.subject.classificationReconeixement òptic de formes-
dc.subject.otherOptical pattern recognition-
dc.titleSidelobe elimination for generalized synthetic discriminant functions by a two-filter correlation and subsequent postprocessing of the intensity distributionseng
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