Fuzzy morphological operators in image processing

dc.contributor.authorBurillo López, Pedro
dc.contributor.authorFrago Paños, Noé Natalio
dc.contributor.authorFuentes González, Ramón
dc.contributor.departmentAutomática y Computaciónes_ES
dc.contributor.departmentAutomatika eta Konputazioaeu
dc.date.accessioned2017-02-16T11:40:21Z
dc.date.available2017-02-16T11:40:21Z
dc.date.issued2003
dc.description.abstractFirst of all, in this paper we propose a family of fuzzy implication operators, which the generalised Luckasiewicz´s one, and to analyse the impacts of Smets and Magrez properties on these operators. The result of this approach will be a characterisation of a proposed family of inclusion grade operators (in Bandler and Kohout´s manner) that satisfies the axioms of Divyendu and Dogherty. Second, we propose a method to define fuzzy morphological operators (erosions and dilations). A family of fuzzy implication operators and the inclusion grade are the basis for this method.en
dc.format.extent16 p.
dc.format.mimetypeapplication/pdfen
dc.identifier.issn1134-5632
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/23670
dc.language.isoengen
dc.publisherUniversitat Politècnica de Catalunyaca
dc.relation.ispartofMathware & Soft Computing, 10 (2003), 85-100en
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (CC BY-NC-ND 3.0 ES)es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectImplication operatorsen
dc.subjectInclusion gradeen
dc.subjectErosion and dilationen
dc.titleFuzzy morphological operators in image processingen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublicationc935e506-e745-4639-95da-b4f1e97fa688
relation.isAuthorOfPublicatione4e0457d-d245-4423-8668-bfa6e37f0ebd
relation.isAuthorOfPublicationcc8dff84-0b36-40bb-a1d2-99fd823dd02b
relation.isAuthorOfPublication.latestForDiscoveryc935e506-e745-4639-95da-b4f1e97fa688

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
MSCFuzzyMorphological.pdf
Size:
101.36 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed to upon submission
Description: