Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition

Emmanuel Schmitt (1) , Vincent Bombardier (1) , Laurent Wendling (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 QGAR - Querying Graphics through Analysis and Recognition

An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on the Choquet integral and a fuzzy linguistic rule classifier. The experimental study shows the wanted behaviour of this approach: the feature number decreases whereas the recognition rate increases. Thus, the number of generated fuzzy rules is reduced.

Mots clés: Pattern recognition; fuzzy logic; feature selection; Choquet integral

Domaines: Traitement du signal et de l'image [eess.SP]; Automatique / Robotique; Vision par ordinateur et reconnaissance de formes [cs.CV]; Traitement du signal et de l'image [eess.SP]

Emmanuel Schmitt, Vincent Bombardier, Laurent Wendling. Fuzzy Rule Iterative Feature Selection (FRIFS) with Respect to the Choquet Integral Apply to Fabric Defect Recognition. 10th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2008, Oct 2008, Juan les Pins, France. pp.708-718. ⟨hal-00341647⟩