Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/46137
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Das, Abhijit | en_US |
dc.contributor.author | Mondal, Prabir | en_US |
dc.contributor.author | Pal, Umapada | en_US |
dc.contributor.author | Blumenstein, Michael | en_US |
dc.contributor.author | Ferrer, Miguel A. | en_US |
dc.date.accessioned | 2018-11-23T01:43:20Z | - |
dc.date.available | 2018-11-23T01:43:20Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.isbn | 9789811021060 | en_US |
dc.identifier.issn | 2194-5357 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/46137 | - |
dc.description.abstract | This 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.language | eng | en_US |
dc.relation.ispartof | Advances in Intelligent Systems and Computing | en_US |
dc.source | Advances in Intelligent Systems and Computing[ISSN 2194-5357],v. 460 AISC, p. 241-250 | en_US |
dc.subject | 3307 Tecnología electrónica | en_US |
dc.title | Sclera vessel pattern synthesis based on a non-parametric texture synthesis technique | en_US |
dc.type | info:eu-repo/semantics/conferenceObject | en_US |
dc.type | ConferenceObject | en_US |
dc.relation.conference | International Conference on Computer Vision and Image Processing, CVIP 2016 | |
dc.identifier.doi | 10.1007/978-981-10-2107-7_22 | |
dc.identifier.scopus | 85009476588 | - |
dc.contributor.authorscopusid | 7403596707 | - |
dc.contributor.authorscopusid | 57214490551 | |
dc.contributor.authorscopusid | 57190947339 | - |
dc.contributor.authorscopusid | 57200742116 | - |
dc.contributor.authorscopusid | 56243577200 | - |
dc.contributor.authorscopusid | 55636321172 | - |
dc.description.lastpage | 250 | en_US |
dc.description.firstpage | 241 | en_US |
dc.relation.volume | 460 AISC | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Actas de congresos | en_US |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2017 | |
dc.identifier.conferenceid | events121597 | |
dc.identifier.ulpgc | Sí | es |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
crisitem.event.eventsstartdate | 26-02-2016 | - |
crisitem.event.eventsenddate | 28-02-2016 | - |
crisitem.author.dept | GIR IDeTIC: División de Procesado Digital de Señales | - |
crisitem.author.dept | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.dept | Departamento de Señales y Comunicaciones | - |
crisitem.author.orcid | 0000-0002-2924-1225 | - |
crisitem.author.parentorg | IU para el Desarrollo Tecnológico y la Innovación | - |
crisitem.author.fullName | Ferrer Ballester, Miguel Ángel | - |
Colección: | Actas de congresos |
Citas SCOPUSTM
11
actualizado el 30-mar-2025
Visitas
101
actualizado el 09-mar-2024
Descargas
1.092
actualizado el 09-mar-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.