Graph Approach in Image Segmentation
dc.book.title | Advances in Fuzzy Logic and Technology 2017 | |
dc.contributor.author | Guada, Carely | |
dc.contributor.author | Gómez González, Daniel | |
dc.contributor.author | Rodríguez González, Juan Tinguaro | |
dc.contributor.author | Yáñez Gestoso, Francisco Javier | |
dc.contributor.author | Montero De Juan, Francisco Javier | |
dc.contributor.editor | Kacprzyk, Janusz | |
dc.contributor.editor | Szmidt, Eulalia | |
dc.contributor.editor | Zadrożny, Slawomir | |
dc.contributor.editor | Atanassov, K. T. | |
dc.contributor.editor | Krawczak, Maciej | |
dc.date.accessioned | 2023-06-18T00:22:25Z | |
dc.date.available | 2023-06-18T00:22:25Z | |
dc.date.issued | 2017 | |
dc.description.abstract | In this paper we discuss about graph approach in image segmentation. In first place, some main image processing techniques are classified based upon the output these methods provide. Then, a fuzzy image segmentation definition is presented because in the literature review was found that it was not clearly defined. This definition of fuzzy image segmentation is then related to a hierarchical image segmentation procedure, so this concept is also formally defined in this work. As every output of an image processing algorithm has to be evaluated, then a method to evaluate a hierarchical segmentation output is proposed in order to later propose a method to evaluate a fuzzy image segmentation output. Computational experiences point to some advantages of the proposed hierarchical image segmentation procedure over other algorithms. | en |
dc.description.department | Depto. de Estadística e Investigación Operativa | |
dc.description.faculty | Fac. de Ciencias Matemáticas | |
dc.description.refereed | TRUE | |
dc.description.sponsorship | Ministerio de Economía, Comercio y Empresa (España) | |
dc.description.sponsorship | Comunidad de Madrid | |
dc.description.status | pub | |
dc.eprint.id | https://eprints.ucm.es/id/eprint/44884 | |
dc.identifier.citation | Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K.T., Krawczak, M. eds: Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, Cham (2018) | |
dc.identifier.doi | 10.1007/978-3-319-66824-6 18 | |
dc.identifier.isbn | 978-3319668291 | |
dc.identifier.officialurl | https//doi.org/10.1007/978-3-319-66824-6 18 | |
dc.identifier.relatedurl | https://link.springer.com/chapter/10.1007/978-3-319-66824-6_18 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/19470 | |
dc.issue.number | 642 | |
dc.language.iso | eng | |
dc.page.final | 212 | |
dc.page.initial | 200 | |
dc.page.total | 726 | |
dc.publication.place | Warsaw, Poland | |
dc.publisher | Springer | |
dc.relation.ispartofseries | Advances in Intelligent Systems and Computing | |
dc.relation.projectID | TIN2015-66471-P | |
dc.relation.projectID | CASI-CAM-CM (S2013/ICE-2845) | |
dc.rights.accessRights | restricted access | |
dc.subject.cdu | 510.6 | |
dc.subject.keyword | Graph approach | |
dc.subject.keyword | Hierarchical segmentation | |
dc.subject.keyword | Edge detection | |
dc.subject.keyword | Benchmarking | |
dc.subject.keyword | Fuzzy sets | |
dc.subject.ucm | Lógica simbólica y matemática (Matemáticas) | |
dc.subject.unesco | 1102.14 Lógica Simbólica | |
dc.title | Graph Approach in Image Segmentation | en |
dc.type | book part | |
dc.volume.number | 2 | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 4dcf8c54-8545-4232-8acf-c163330fd0fe | |
relation.isAuthorOfPublication | ddad170a-793c-4bdc-b983-98d313c81b03 | |
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relation.isAuthorOfPublication | 9e4cf7df-686c-452d-a98e-7b2602e9e0ea | |
relation.isAuthorOfPublication.latestForDiscovery | 4dcf8c54-8545-4232-8acf-c163330fd0fe |
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