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dc.creatorBerciano Alcaraz, Ainhoaes
dc.creatorDíaz Pernil, Danieles
dc.date.accessioned2015-06-30T06:54:42Z
dc.date.available2015-06-30T06:54:42Z
dc.date.issued2011es
dc.identifier.issn1885-4508es
dc.identifier.urihttp://hdl.handle.net/11441/26396
dc.description.abstractIn this paper we present a new way to determine the geometrical objects associated to the Homology groups of a 2D-digital binary image. In fact, using Membrane Computing with techniques of spanning forests, we are able to define a parallel algorithm which calculates not only the Betti numbers, but also the geometric objects which generate these holes.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherUniversidad de Sevillaes
dc.relation.ispartofImage-A : Applicable Mathematics in Image Engineering, 2 (4), 13-16es
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Españaes
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es
dc.titleHomological Groups, Spanning Forests and Membrane Computinges
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessrightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada Ies
dc.relation.publisherversionhttp://institucional.us.es/revistas/imagen_a/4/art_2.pdfes
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/26396

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