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dc.creatorDíaz Pernil, Danieles
dc.creatorBerciano, Ainhoaes
dc.creatorPeña Cantillana, Franciscoes
dc.creatorGutiérrez Naranjo, Miguel Ángeles
dc.date.accessioned2018-04-06T09:35:43Z
dc.date.available2018-04-06T09:35:43Z
dc.date.issued2013
dc.identifier.citationDíaz Pernil, D., Berciano, A., Peña Cantillana, F. y Gutiérrez Naranjo, M.Á. (2013). Segmenting images with gradient-based edge detection using Membrane Computing. Pattern Recognition Letters, 34 (8), 846-856.
dc.identifier.issn0167-8655es
dc.identifier.urihttps://hdl.handle.net/11441/72072
dc.description.abstractIn this paper, we present a parallel implementation of a new algorithm for segmenting images with gradient-based edge detection by using techniques from Natural Computing. This bio-inspired parallel algorithm has been implemented in a novel device architecture called CUDA™(Compute Unified Device Architecture). The implementation has been designed via tissue P systems on the framework of Membrane Computing. Some examples and experimental results are also presented.es
dc.description.sponsorshipMinisterio de Ciencia e Innovación TIN2008-04487-Ees
dc.description.sponsorshipMinisterio de Ciencia e Innovación TIN2009–13192es
dc.description.sponsorshipJunta de Andalucía P08–TIC-04200es
dc.description.sponsorshipJunta de Andalucía P06-TIC-02268es
dc.description.sponsorshipMinisterio de Educación y Ciencia MTM2009-12716es
dc.description.sponsorshipUniversidad del Pais Vasco EHU09/04es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofPattern Recognition Letters, 34 (8), 846-856.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEdge detectiones
dc.subjectSobel algorithm Tissuees
dc.subjectP systems Membranees
dc.subjectComputing CUDAes
dc.titleSegmenting images with gradient-based edge detection using Membrane Computinges
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.relation.projectIDTIN2008-04487-Ees
dc.relation.projectIDTIN2009–13192es
dc.relation.projectIDP08–TIC-04200es
dc.relation.projectIDP06-TIC-02268es
dc.relation.projectIDMTM2009-12716es
dc.relation.projectIDEHU09/04es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0167865512003443es
dc.identifier.doi10.1016/j.patrec.2012.10.014es
dc.contributor.groupUniversidad de Sevilla. TIC193: Computación Naturales
dc.contributor.groupUniversidad de Sevilla. TIC245: Topological Pattern Analysis and Recognition
idus.format.extent10es
dc.journaltitlePattern Recognition Letterses
dc.publication.volumen34es
dc.publication.issue8es
dc.publication.initialPage846es
dc.publication.endPage856es
dc.identifier.sisius20357060es

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