Identificador persistente para citar o vincular este elemento: https://accedacris.ulpgc.es/handle/10553/46137
Campo DC Valoridioma
dc.contributor.authorDas, Abhijiten_US
dc.contributor.authorMondal, Prabiren_US
dc.contributor.authorPal, Umapadaen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorFerrer, Miguel A.en_US
dc.date.accessioned2018-11-23T01:43:20Z-
dc.date.available2018-11-23T01:43:20Z-
dc.date.issued2017en_US
dc.identifier.isbn9789811021060en_US
dc.identifier.issn2194-5357en_US
dc.identifier.urihttps://accedacris.ulpgc.es/handle/10553/46137-
dc.description.abstractThis work proposes a sclera vessel texture pattern synthesis technique. Sclera texture was synthesized by a non-parametric based texture regeneration technique. A small number of classes from the UBIRIS version: 1 dataset was employed as primitive images. An appreciable result was achieved which solicits the successful synthesis of sclera texture patterns. It is difficult to get a huge collection real sclera data and hence such synthetic data will be useful to the researchers.en_US
dc.languageengen_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.sourceAdvances in Intelligent Systems and Computing[ISSN 2194-5357],v. 460 AISC, p. 241-250en_US
dc.subject3307 Tecnología electrónicaen_US
dc.titleSclera vessel pattern synthesis based on a non-parametric texture synthesis techniqueen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Conference on Computer Vision and Image Processing, CVIP 2016
dc.identifier.doi10.1007/978-981-10-2107-7_22
dc.identifier.scopus85009476588-
dc.contributor.authorscopusid57214490551
dc.contributor.authorscopusid7403596707-
dc.contributor.authorscopusid57190947339-
dc.contributor.authorscopusid57200742116-
dc.contributor.authorscopusid56243577200-
dc.contributor.authorscopusid55636321172-
dc.description.lastpage250en_US
dc.description.firstpage241en_US
dc.relation.volume460 AISCen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.date.coverdateEnero 2017
dc.identifier.conferenceidevents121597
dc.identifier.ulpgces
item.fulltextCon texto completo-
item.grantfulltextopen-
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.orcid0000-0002-2924-1225-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.event.eventsstartdate26-02-2016-
crisitem.event.eventsenddate28-02-2016-
Colección:Actas de congresos
miniatura
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