Fuzzy linguistic rules classifier for wooden board color sorting

Authors:
Emmanuel Schmitt;Vincent Bombardier;Raphaël Vogrig
Affiliations:
Faculté des Sciences, Boulevard des Aiguillettes, Automatic Research Center of Nancy – CRAN, UMR 7039, Vandoeuvre-lès-Nancy, France;Faculté des Sciences, Boulevard des Aiguillettes, Automatic Research Center of Nancy – CRAN, UMR 7039, Vandoeuvre-lès-Nancy, France;Luxscan Technologies, Z.A.R.E. Ouest, Ehlerange, Luxembourg
Venue:
ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems
Year:
2005

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Abstract

This article exposes wood pieces classification method according to their color. The main difficulties encountered by the Company are primarily in the color recognition according to a certain graduality, and the decision to take on all the board with the different sides. These problems imply the use of flexible/robust model and the use of an “intelligent” information management delivered by the sensors. In order to improve the current system, we propose to integrate a method, whose principle is a fuzzy inference system, itself built thanks to fuzzy linguistic rules. The results obtained with our method show a real improvement of the recognition rate compared to a bayesian classifier already used by the Company.