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Automatic extraction of linguistic models for image description
dc.contributor.author | Baturone, Iluminada | |
dc.contributor.author | Gersnoviez, Andrés | |
dc.date.accessioned | 2024-02-08T07:51:47Z | |
dc.date.available | 2024-02-08T07:51:47Z | |
dc.date.issued | 2010 | |
dc.identifier.issn | 1098-7584 | |
dc.identifier.uri | http://hdl.handle.net/10396/27271 | |
dc.description.abstract | This paper describes a methodology to extract fuzzy models that describe linguistically the low-level features of an image (such as color, texture, etc.). The methodology combines grid-based algorithms with clustering and tabular simplification methods to compress image information into a small number of fuzzy rules with high linguistic meaning. All the steps of the methodology are carried out with the help offered by the tools of Xfuzzy 3 environment, so we can define, simplify, tune and verify the fuzzy models automatically. Several examples are included to illustrate the advantages of the methodology. | es_ES |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | IEEE | es_ES |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | es_ES |
dc.source | International Conference on Fuzzy Systems, 18-23 July 2010 | es_ES |
dc.subject | Extract fuzzy models | es_ES |
dc.subject | Grid-based algorithms | es_ES |
dc.subject | Xfuzzy 3 environment | es_ES |
dc.title | Automatic extraction of linguistic models for image description | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1109/FUZZY.2010.5584798 | es_ES |
dc.relation.projectID | Unión Europea. FP7-IST-248858 | es_ES |
dc.relation.projectID | Gobierno de España. Project TEC2008-04920 | es_ES |
dc.relation.projectID | Junta de Andalucía. P08-TIC-03674 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |