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dc.creatorSánchez Cuevas, Pabloes
dc.creatorDíaz del Río, Fernandoes
dc.creatorMolina Abril, Helenaes
dc.creatorReal Jurado, Pedroes
dc.date.accessioned2022-11-08T11:36:34Z
dc.date.available2022-11-08T11:36:34Z
dc.date.issued2021
dc.identifier.citationSánchez Cuevas, P., Díaz del Río, F., Molina Abril, H. y Real Jurado, P. (2021). A Topologically Consistent Color Digital Image Representation by a Single Tree. En CIARP 2021: 25th Iberoamerican Congress on Pattern Recognition (479-488), Sevilla, España: Springer.
dc.identifier.isbn978-3-030-93419-4es
dc.identifier.issn0302-9743es
dc.identifier.urihttps://hdl.handle.net/11441/139114
dc.description.abstractA novel, flexible (non-unique) and topologically consistent representation called CRIT (Contour-Region incidence Tree) for a color 2D digital image I is defined here. The CRIT is a tree containing all the inter and intra connectivity information of the constant-color regions. Considering I as an abstract cell complex (ACC), its topological infor mation can be packed as a smaller (in terms of cells) ACC, whose 2-cells are the different constant-color regions of I. This modus operandi over comes the classical connectivity paradoxes of digital images by working with lower-dimensional cells such as 0-cells, 1-cells, and 2-cells. The CRIT structure allows to describe this smaller ACC in a non-redundant way. The proposed technique is based on the previous construction of the Homological Spanning Forest (HSF) structures for encoding homological information of the ACCs canonically associated to I, in terms of rooted trees connecting digital object elements without redundancyes
dc.description.sponsorshipMinisterio de Ciencia e Innovación PID2019-110455GB-I00 (Par-HoT)es
dc.formatapplication/pdfes
dc.format.extent10es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofCIARP 2021: 25th Iberoamerican Congress on Pattern Recognition (2021), pp. 479-488.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectColor 2D digital imagees
dc.subjectAbstract cell complexes
dc.subjectHomological spanning forestes
dc.subjectContour-region incident treees
dc.titleA Topologically Consistent Color Digital Image Representation by a Single Treees
dc.typeinfo:eu-repo/semantics/conferenceObjectes
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 Arquitectura y Tecnología de Computadoreses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.relation.projectIDPID2019-110455GB-I00 (Par-HoT)es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-93420-0_45es
dc.identifier.doi10.1007/978-3-030-93420-0_45es
dc.contributor.groupUniversidad de Sevilla. TEP108 : Robotica y Tecnología de Computadoreses
dc.contributor.groupUniversidad de Sevilla. TIC245: Topological Pattern Analysis, Recognition and Learninges
dc.publication.initialPage479es
dc.publication.endPage488es
dc.eventtitleCIARP 2021: 25th Iberoamerican Congress on Pattern Recognitiones
dc.eventinstitutionSevilla, Españaes
dc.relation.publicationplaceCham, Switzerlandes
dc.contributor.funderMinisterio de Ciencia e Innovación (MICIN). Españaes

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