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Graph Approach in Image Segmentation

dc.book.titleAdvances in Fuzzy Logic and Technology 2017
dc.contributor.authorGuada, Carely
dc.contributor.authorGómez González, Daniel
dc.contributor.authorRodríguez González, Juan Tinguaro
dc.contributor.authorYáñez Gestoso, Francisco Javier
dc.contributor.authorMontero De Juan, Francisco Javier
dc.contributor.editorKacprzyk, Janusz
dc.contributor.editorSzmidt, Eulalia
dc.contributor.editorZadrożny, Slawomir
dc.contributor.editorAtanassov, K. T.
dc.contributor.editorKrawczak, Maciej
dc.date.accessioned2023-06-18T00:22:25Z
dc.date.available2023-06-18T00:22:25Z
dc.date.issued2017
dc.description.abstractIn 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.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Economía, Comercio y Empresa (España)
dc.description.sponsorshipComunidad de Madrid
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/44884
dc.identifier.citationKacprzyk, 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.doi10.1007/978-3-319-66824-6 18
dc.identifier.isbn978-3319668291
dc.identifier.officialurlhttps//doi.org/10.1007/978-3-319-66824-6 18
dc.identifier.relatedurlhttps://link.springer.com/chapter/10.1007/978-3-319-66824-6_18
dc.identifier.urihttps://hdl.handle.net/20.500.14352/19470
dc.issue.number642
dc.language.isoeng
dc.page.final212
dc.page.initial200
dc.page.total726
dc.publication.placeWarsaw, Poland
dc.publisherSpringer
dc.relation.ispartofseriesAdvances in Intelligent Systems and Computing
dc.relation.projectIDTIN2015-66471-P
dc.relation.projectIDCASI-CAM-CM (S2013/ICE-2845)
dc.rights.accessRightsrestricted access
dc.subject.cdu510.6
dc.subject.keywordGraph approach
dc.subject.keywordHierarchical segmentation
dc.subject.keywordEdge detection
dc.subject.keywordBenchmarking
dc.subject.keywordFuzzy sets
dc.subject.ucmLógica simbólica y matemática (Matemáticas)
dc.subject.unesco1102.14 Lógica Simbólica
dc.titleGraph Approach in Image Segmentationen
dc.typebook part
dc.volume.number2
dspace.entity.typePublication
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relation.isAuthorOfPublicationddad170a-793c-4bdc-b983-98d313c81b03
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relation.isAuthorOfPublication.latestForDiscovery4dcf8c54-8545-4232-8acf-c163330fd0fe

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