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dc.creatorTomasević, Igor
dc.creatorTomović, Vladimir
dc.creatorBarba, Francisco J.
dc.creatorVasilev, Dragan
dc.creatorJokanović, Marija
dc.creatorSojić, Branislav
dc.creatorManuel Lorenzo, Jose
dc.creatorĐekić, Ilija
dc.date.accessioned2020-06-03T14:33:20Z
dc.date.available2020-06-03T14:33:20Z
dc.date.issued2019
dc.identifier.issn0015-363X
dc.identifier.urihttps://vet-erinar.vet.bg.ac.rs/handle/123456789/1737
dc.description.abstractThe ability of a computer vision system (CVS) to evaluate game meat color was investigated by a comparison study with color measurements from a traditional colorimeter. The experiment involved five different species: quail, wild boar, rabbit, deer and pheasant. The total color difference (AEI between the methods employed was so great that the generated colors) could be considered more opposite then similar. Positive correlation was observed between the calculated total color differences and differences ranked by the panelists. The CVS-generated color chips were more similar to the sample of the game meat visualized on the monitor, compared to colorimeter-generated color chips in all (100%) individual trials performed. Using colorimeter for color evaluation of lighter colored game meat was unrepresentative. CVS-generated colors were found moderately to highly similar to the actual color of all samples evaluated. Therefore, the use of a CVS should be considered a superior alternative to the traditional method for measuring color of game meat.en
dc.publisherDeutscher Fachverlag GmbH, Frankfurt Main
dc.rightsrestrictedAccess
dc.sourceFleischwirtschaft
dc.subjectColoren
dc.subjectGame meaten
dc.subjectComputer visionen
dc.subjectColorimeteren
dc.subjectImage analysisen
dc.titleHow the color of game meat should be measureden
dc.typearticle
dc.rights.licenseARR
dcterms.abstractТомовић, Владимир; Томасевић, Игор; Сојић, Бранислав; Василев, Драган; Ђекић, Илија; Мануел Лорензо, Јосе; Барба, Францисцо Ј.; Јокановић, Марија;
dc.citation.volume99
dc.citation.issue1
dc.citation.spage85
dc.citation.epage89
dc.citation.other99(1): 85-89
dc.citation.rankM23
dc.identifier.wos000458470700037
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_agrospace_5051
dc.type.versionpublishedVersion


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