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dc.contributor.authorLegaz Aparicio, Alvar Ginés 
dc.contributor.authorVerdú Monedero, Rafael 
dc.contributor.authorAngulo, Jesús 
dc.date.accessioned2020-01-24T09:25:52Z
dc.date.available2020-01-24T09:25:52Z
dc.date.issued2017
dc.identifier.citationÁlvar-Ginés Legaz-Aparicio, Rafael Verdu-Monedero, Jesus Angulo. Adaptive morphological filters based on a multiple orientation vector field dependent on image local features.. Journal of Computational and Applied Mathematics, Elsevier, 2018, 330, pp.965 - 981.es_ES
dc.identifier.issn0377-0427
dc.description.abstractThis paper addresses the formulation of adaptive morphological filters based on spatially-variant structuring elements. The adaptivity of these filters is achieved by modifying the shape and orientation of the structuring elements according to a multiple orientation vector field. This vector field is provided by means of a bank of directional openings which can take into account the possible multiple orientations of the contours in the image. After reviewing and formalizing the definition of the spatially-variant dilation, erosion, opening and closing, the proposed structuring elements are described. These spatially-variant structuring elements are based on ellipses which vary over the image domain adapting locally their orientation according to the multiple orientation vector field and their shape (the eccentricity of the ellipses) according to the distance to relevant contours of the objects. The proposed adaptive morphological filters are used on gray-level images and are compared with spatially-invariant filters, with spatially-variant filters based on a single orientation vector field, and with adaptive morphological bilateral filters. Results show that the morphological filters based on a multiple orientation vector field are more adept at enhancing and preserving structures which contains more than one orientation.es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relation.ispartofEstimación de la orientación múltiple mediante un banco de filtros y su uso en el desarrollo de aplicaciones de procesado de imagenes_ES
dc.relation.urihttp://hdl.handle.net/10317/8312es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights© Copyright 2018 Elsevieres_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleAdaptive morphological filters based on a multiple orientation vector field dependent on image local featureses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subjectMathematical morphologyes_ES
dc.subjectAdaptive morphologyes_ES
dc.subjectAdaptive structuring elementses_ES
dc.subjectSpatially-variant structuring elementses_ES
dc.subject.otherTeoría de la Señal y las Comunicacioneses_ES
dc.identifier.urihttp://hdl.handle.net/10317/8334
dc.identifier.doi10.1016/j.cam.2017.05.001
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0377042717302303
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/submittedVersiones_ES
dc.subject.unesco2209.90 Tratamiento Digital. Imágeneses_ES


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Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España