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Automatic extraction of linguistic models for image description


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Opened Access Automatic extraction of linguistic models for image description
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Author: Baturone Castillo, María Iluminada
Gersnoviez, A.
Department: Universidad de Sevilla. Departamento de Electrónica y Electromagnetismo
Date: 2010
Document type: Presentation
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
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