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Particle Swarm Optimization For Automatic Hardness Measurement

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dc.title Particle Swarm Optimization For Automatic Hardness Measurement en
dc.contributor.author Hrúz, Marek
dc.contributor.author Široký, Jan
dc.contributor.author Maňas, David
dc.relation.ispartof Chemické listy
dc.identifier.issn 0009-2770 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2012
utb.relation.volume 106
utb.relation.issue supl3
dc.citation.spage S434
dc.citation.epage S437
dc.type article
dc.language.iso en
dc.publisher Česká společnost chemická (ČSCH) cs
dc.relation.uri http://www.chemicke-listy.cz/docs/full/2012_s3_s405-s441.pdf
dc.subject particle swarm optimization en
dc.subject hardness measurement en
dc.subject image processing en
dc.description.abstract Particle Swarm Optimization for Automatic Hardness Measurement Hardness measurement enables fast and reliable identification of low quality material and helps to prevent its use in the production process. Automatic hardness measurement can speed up the measurement process and provides repeatable results in contrast to manual measurement that is time consuming and always affected by a human factor. On the other hand, the automatic measurement often fails, when the specimen surface is not well prepared. This article introduces an algorithm that enables measurement of rough polished specimens and minimizes the effect of specimen surface properties. en
utb.faculty Faculty of Technology
dc.identifier.uri http://hdl.handle.net/10563/1003153
utb.identifier.rivid RIV/70883521:28110/12:43869348!RIV13-MPO-28110___
utb.identifier.obdid 43869619
utb.identifier.wok 000314237900023
utb.source j-wok
dc.date.accessioned 2013-03-04T12:15:39Z
dc.date.available 2013-03-04T12:15:39Z
utb.contributor.internalauthor Maňas, David
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