Show simple item record

dc.creatorCarnero Iglesias, Javier
dc.creatorDíaz Pernil, Daniel
dc.creatorMolina Abril, Helena
dc.creatorReal Jurado, Pedro
dc.date.accessioned2015-06-29T11:11:28Z
dc.date.available2015-06-29T11:11:28Z
dc.date.issued2010es
dc.identifier.issn1885-4508es
dc.identifier.urihttp://hdl.handle.net/11441/26206
dc.description.abstractSeveral features of image segmentation make it suitable for bio–inspired techniques. It can be parallelized, locally solved and the input data can be easily encoded using representations inspired by nature. In this paper, we present a new hardware system that follows the Membrane Computing approach, and performs edge–based segmentation, noise removal and thresholding of digital images.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherUniversidad de Sevillaes
dc.relation.ispartofImage-A : Applicable Mathematics in Image Engineering, 1 (3), 143-150es
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Españaes
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/es
dc.subjectImage Segmentationes
dc.subjectComputational Algebraic Topologyes
dc.subjectMembrane Computinges
dc.subjectTissue-like P Systemses
dc.subjectFPGAes
dc.titleImage Segmentation Inspired by Cellular Models using hardware programminges
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/3/art_5.pdfes
dc.identifier.idushttps://idus.us.es/xmlui/handle/11441/26206

FilesSizeFormatViewDescription
art_5 (1).pdf385.9KbIcon   [PDF] View/Open  

This item appears in the following collection(s)

Show simple item record

Atribución-NoComercial-SinDerivadas 4.0 España
Except where otherwise noted, this item's license is described as: Atribución-NoComercial-SinDerivadas 4.0 España