Ponencia
Automatic extraction of linguistic models for image description
Autor/es | Baturone Castillo, María Iluminada
Gersnoviez, A. |
Departamento | Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo |
Fecha de publicación | 2010 |
Fecha de depósito | 2017-03-16 |
Publicado en |
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Resumen | 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 ... 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 |
Cita | Baturone 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. |
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