Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/48799
Campo DC Valoridioma
dc.contributor.authorSengar, Namitaen_US
dc.contributor.authorGupta, Varunen_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.date.accessioned2018-11-24T01:02:13Z-
dc.date.available2018-11-24T01:02:13Z-
dc.date.issued2018en_US
dc.identifier.isbn9781538608869en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/48799-
dc.description.abstractThe quality of the fish is mainly altered by different cooling methods, exporting, handling etc. In this paper a non-destructive framework is proposed for identification of fish freshness using image processing techniques. In this paper skin tissue is selected as focal tissue for basic analysis and identification of freshness of fish from fish images. Statistical features are extracted in the HSV color space which gives degradation pattern for fish freshness which is used to design the framework for identification of fish freshness. The experiment result indicates monotonic degradation pattern. Experiments were carried on fish images and results are encouraging. The maximum classification accuracy of contributed methodology is 96.66%.en_US
dc.languageengen_US
dc.relation.ispartofInternational Conference on "Computational Intelligence and Communication Technology", CICT 2018en_US
dc.sourceInternational Conference on "Computational Intelligence and Communication Technology", CICT 2018 (8480265)en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherQualityen_US
dc.subject.otherFish Freshnessen_US
dc.subject.otherSkin Tissueen_US
dc.subject.otherImage Processingen_US
dc.titleImage Processing Based Method For Identification Of Fish Freshness Using Skin Tissueen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference4th International Conference on "Computational Intelligence and Communication Technology", CICT 2018en_US
dc.identifier.doi10.1109/CIACT.2018.8480265en_US
dc.identifier.scopus85056261947-
dc.identifier.isi000450112300026-
dc.contributor.authorscopusid56964145800-
dc.contributor.authorscopusid57193866196-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid57196462914-
dc.identifier.issue8480265-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid2084815-
dc.contributor.daisngid2193381-
dc.contributor.daisngid35026383-
dc.contributor.daisngid265761-
dc.description.numberofpages4en_US
dc.identifier.eisbn978-1-5386-0886-9-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Sengar, N-
dc.contributor.wosstandardWOS:Gupta, V-
dc.contributor.wosstandardWOS:Dutta, MK-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.date.coverdate2018en_US
dc.identifier.conferenceidevents121122-
dc.identifier.ulpgces
dc.description.ggs3
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.event.eventsstartdate09-02-2018-
crisitem.event.eventsenddate10-02-2018-
Colección:Actas de congresos
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