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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46196
DC FieldValueLanguage
dc.contributor.authorÁlvarez, Len_US
dc.contributor.authorBaumela, Luisen_US
dc.contributor.authorHenríquez, Pedroen_US
dc.contributor.authorMárquez-Neila, Pabloen_US
dc.contributor.otherAlvarez, Luis-
dc.contributor.otherBaumela, Luis-
dc.contributor.otherHenriquez, Pedro-
dc.date.accessioned2018-11-23T02:14:07Z-
dc.date.available2018-11-23T02:14:07Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-6984-0en_US
dc.identifier.isbn978-1-4244-6983-3-
dc.identifier.issn1063-6919en_US
dc.identifier.urihttp://hdl.handle.net/10553/46196-
dc.description.abstractWe introduce a morphological approach to curve evolution. The differential operators used in the standard PDE snake models can be approached using morphological operations on a binary level set. By combining the morphological operators associated to the PDE components we achieve a new snakes evolution algorithm. This new solution is based on numerical methods which are very simple, fast and stable. Moreover, since the level set is just a binary piecewise constant function, this approach does not require to estimate a contour distance function. To illustrate the results obtained we present some numerical experiments on real images.en_US
dc.languageengen_US
dc.sourceProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition [ISSN 1063-6919] (5539900), p. 2197-2202en_US
dc.subject120601 Construcción de algoritmosen_US
dc.subject120602 Ecuaciones diferencialesen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherGeodesic Active Contours
dc.titleMorphological snakesen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
dc.relation.conference2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
dc.identifier.doi10.1109/CVPR.2010.5539900
dc.identifier.scopus77955987357-
dc.identifier.isi000287417502032-
dcterms.isPartOf2010 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr)-
dcterms.source2010 Ieee Conference On Computer Vision And Pattern Recognition (Cvpr)[ISSN 1063-6919], p. 2197-2202-
dc.contributor.authorscopusid55640159000-
dc.contributor.authorscopusid6603457572-
dc.contributor.authorscopusid36245263800-
dc.contributor.authorscopusid24825059000-
dc.description.lastpage2202-
dc.identifier.issue5539900-
dc.description.firstpage2197-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.identifier.wosWOS:000287417502032-
dc.contributor.daisngid478566-
dc.contributor.daisngid1000070-
dc.contributor.daisngid3348898-
dc.contributor.daisngid4157587-
dc.identifier.investigatorRIDA-9190-2009-
dc.identifier.investigatorRIDF-8867-2013-
dc.identifier.investigatorRIDNo ID-
dc.identifier.eisbn978-1-4244-6985-7-
dc.utils.revisionSíen_US
dc.contributor.wosstandardWOS:Alvarez, L
dc.contributor.wosstandardWOS:Baumela, L
dc.contributor.wosstandardWOS:Henriquez, P
dc.contributor.wosstandardWOS:Marquez-Neila, P
dc.date.coverdateAgosto 2010
dc.identifier.conferenceidevents120745
dc.identifier.ulpgcSíes
dc.description.ggs1
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.event.eventsstartdate13-06-2010-
crisitem.event.eventsstartdate13-06-2010-
crisitem.event.eventsenddate18-06-2010-
crisitem.event.eventsenddate18-06-2010-
crisitem.author.deptGIR Modelos Matemáticos-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-6953-9587-
crisitem.author.parentorgDepartamento de Informática y Sistemas-
crisitem.author.fullNameÁlvarez León, Luis Miguel-
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