Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/43474
DC FieldValueLanguage
dc.contributor.authorTrujillo-Pino, Agustínen_US
dc.contributor.authorKrissian, Karlen_US
dc.contributor.authorAlemán-Flores, Miguelen_US
dc.contributor.authorSantana-Cedrés, Danielen_US
dc.contributor.otherTrujillo-Pino, Agustin-
dc.contributor.otherAleman-Flores, Miguel-
dc.contributor.otherSantana-Cedres, Daniel-
dc.contributor.otherSantana-Cedres, Daniel-
dc.date.accessioned2018-11-21T15:27:05Z-
dc.date.available2018-11-21T15:27:05Z-
dc.date.issued2013en_US
dc.identifier.issn0262-8856en_US
dc.identifier.urihttp://hdl.handle.net/10553/43474-
dc.description.abstractThe estimation of edge features, such as subpixel position, orientation, curvature and change in intensity at both sides of the edge, from the computation of the gradient vector in each pixel is usually inexact, even in ideal images. In this paper, we present a new edge detector based on an edge and acquisition model derived from the partial area effect, which does not assume continuity in the image values. The main goal of this method consists in achieving a highly accurate extraction of the position, orientation, curvature and contrast of the edges, even in difficult conditions, such as noisy images, blurred edges, low contrast areas or very close contours. For this purpose, we first analyze the influence of perfectly straight or circular edges in the surrounding region, in such a way that, when these conditions are fulfilled, the features can exactly be determined. Afterward, we extend it to more realistic situations considering how adverse conditions can be tackled and presenting an iterative scheme for improving the results. We have tested this method in real as well as in sets of synthetic images with extremely difficult edges, and in both cases a highly accurate characterization has been achieved.en_US
dc.languageengen_US
dc.relationSistema de Procesado de Imagenes Para El Dignostico, la Planificción, la Simulación y El Segimiento de Operacionesde Cirugia Vascularen_US
dc.relation.ispartofImage and Vision Computingen_US
dc.sourceImage and Vision Computing [ISSN 0262-8856], v. 31, p. 72-90en_US
dc.subject220990 Tratamiento digital. Imágenesen_US
dc.subject.otherSubpixel accuracyen_US
dc.subject.otherEdge detectionen_US
dc.subject.otherDenoisingen_US
dc.titleAccurate subpixel edge location based on partial area effecten_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1016/j.imavis.2012.10.005
dc.identifier.scopus84881329206-
dc.identifier.isi000314557100006-
dcterms.isPartOfImage And Vision Computing-
dcterms.sourceImage And Vision Computing[ISSN 0262-8856],v. 31 (1), p. 72-90-
dc.contributor.authorscopusid22433888800-
dc.contributor.authorscopusid6602218913-
dc.contributor.authorscopusid55892084700-
dc.contributor.authorscopusid54974008500-
dc.description.lastpage90-
dc.identifier.issue1-
dc.description.firstpage72-
dc.relation.volume31-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wosWOS:000314557100006-
dc.contributor.daisngid3861838-
dc.contributor.daisngid1202623-
dc.contributor.daisngid1833913-
dc.contributor.daisngid4021657-
dc.identifier.investigatorRIDK-5825-2014-
dc.identifier.investigatorRIDK-6659-2014-
dc.identifier.investigatorRIDNo ID-
dc.identifier.investigatorRIDNo ID-
dc.contributor.wosstandardWOS:Trujillo-Pino, A
dc.contributor.wosstandardWOS:Krissian, K
dc.contributor.wosstandardWOS:Aleman-Flores, M
dc.contributor.wosstandardWOS:Santana-Cedres, D
dc.date.coverdateEnero 2013
dc.identifier.ulpgces
dc.description.sjr1,157
dc.description.jcr1,581
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.project.principalinvestigatorKrissian , Karl-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Centro de Tecnologías de la Imagen-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0001-6212-5317-
crisitem.author.orcid0000-0002-9258-0086-
crisitem.author.orcid0000-0003-2032-5649-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameTrujillo Pino, Agustín Rafael-
crisitem.author.fullNameAlemán Flores, Miguel-
crisitem.author.fullNameSantana Cedrés, Daniel Elías-
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