2017-03-162017-03-162010Baturone Castillo, M.I. y Gersnoviez, A. (2010). Automatic extraction of linguistic models for image description. En World Congress on Computational Intelligence (2010, Barcelona) (1-8), Barcelona: IEEE International Conference on Fuzzy Systems.http://hdl.handle.net/11441/55929This 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 methodologyapplication/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess