dc.creator | Sánchez Cuevas, Pablo | es |
dc.creator | Díaz del Río, Fernando | es |
dc.creator | Molina Abril, Helena | es |
dc.creator | Real Jurado, Pedro | es |
dc.date.accessioned | 2022-11-08T11:36:34Z | |
dc.date.available | 2022-11-08T11:36:34Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Sánchez 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.isbn | 978-3-030-93419-4 | es |
dc.identifier.issn | 0302-9743 | es |
dc.identifier.uri | https://hdl.handle.net/11441/139114 | |
dc.description.abstract | A 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 redundancy | es |
dc.description.sponsorship | Ministerio de Ciencia e Innovación PID2019-110455GB-I00 (Par-HoT) | es |
dc.format | application/pdf | es |
dc.format.extent | 10 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | CIARP 2021: 25th Iberoamerican Congress on Pattern Recognition (2021), pp. 479-488. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Color 2D digital image | es |
dc.subject | Abstract cell complex | es |
dc.subject | Homological spanning forest | es |
dc.subject | Contour-region incident tree | es |
dc.title | A Topologically Consistent Color Digital Image Representation by a Single Tree | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | PID2019-110455GB-I00 (Par-HoT) | es |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-3-030-93420-0_45 | es |
dc.identifier.doi | 10.1007/978-3-030-93420-0_45 | es |
dc.contributor.group | Universidad de Sevilla. TEP108 : Robotica y Tecnología de Computadores | es |
dc.contributor.group | Universidad de Sevilla. TIC245: Topological Pattern Analysis, Recognition and Learning | es |
dc.publication.initialPage | 479 | es |
dc.publication.endPage | 488 | es |
dc.eventtitle | CIARP 2021: 25th Iberoamerican Congress on Pattern Recognition | es |
dc.eventinstitution | Sevilla, España | es |
dc.relation.publicationplace | Cham, Switzerland | es |
dc.contributor.funder | Ministerio de Ciencia e Innovación (MICIN). España | es |