dc.creator | Cerman, Martin | es |
dc.creator | Janusch, Ines | es |
dc.creator | González Díaz, Rocío | es |
dc.creator | Kropatsch, Walter G. | es |
dc.date.accessioned | 2021-10-18T10:12:12Z | |
dc.date.available | 2021-10-18T10:12:12Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Cerman, M., Janusch, I., González Díaz, R. y Kropatsch, W.G. (2016). Topology-based image segmentation using LBP pyramids. Machine Vision and Applications, 27 (8), 1161-1174. | |
dc.identifier.issn | 0932-8092 | es |
dc.identifier.uri | https://hdl.handle.net/11441/126666 | |
dc.description.abstract | In this paper, we present a new image segmentation
algorithmwhich is based on local binary patterns (LBPs)
and the combinatorial pyramid and which preserves structural
correctness and image topology. For this purpose, we
define a codification of LBPs using graph pyramids. Since
the LBP code characterizes the topological category (local
max, min, slope, saddle) of the gray level landscape around
the center region, we use it to obtain a “minimal” image representation
in terms of the topological characterization of a
given 2D grayscale image. Based on this idea, we further
describe our hierarchical texture aware image segmentation
algorithm and compare its segmentation output and the “minimal”
image representation. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad MTM2015-67072-P | es |
dc.format | application/pdf | es |
dc.format.extent | 14 | es |
dc.language.iso | eng | es |
dc.publisher | Springer | es |
dc.relation.ispartof | Machine Vision and Applications, 27 (8), 1161-1174. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Local binary patterns | es |
dc.subject | Irregular graph pyramid | es |
dc.subject | Primal and dual graph | es |
dc.subject | Topological characterization | es |
dc.subject | Image segmentation | es |
dc.title | Topology-based image segmentation using LBP pyramids | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Matemática Aplicada I (ETSII) | es |
dc.relation.projectID | MTM2015-67072-P | es |
dc.relation.publisherversion | https://link.springer.com/article/10.1007/s00138-016-0795-1 | es |
dc.identifier.doi | 10.1007/s00138-016-0795-1 | es |
dc.journaltitle | Machine Vision and Applications | es |
dc.publication.volumen | 27 | es |
dc.publication.issue | 8 | es |
dc.publication.initialPage | 1161 | es |
dc.publication.endPage | 1174 | es |
dc.identifier.sisius | 21285993 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |