Système de tri couleur par capteur flou Color sorting system by fuzzy sensor

and key words This article presents a color recognition system formalized under the fuzzy sensor concept. The main objective is to improve the color classification of wooden boards. Our study relates the development of an industrial vision system allowing the recognition of gradual colors. This context imposes a strong reliability constraint, because the currently used sensors are not always enough robust. Then, we are interested in techniques which improve the taking into account of the physical measure imprecision and the uncertainty concerning the definition of the wood color by a Human, the color classes being always neither identified nor separated. Moreover, the different users can have different perceptions of them. Besides, the vision system must be easy to tune. To carry out such a system, we propose to base the fuzzy sensor on a classification method with fuzzy linguistic rules (Fuzzy Reasoning Classifier) which main advantages reside in its generalization capacity from small training data sets and in the interpretability of its rule set. The obtained results show the efficiency of our intelligent sensor. Fuzzy sensor, Color measurement, Pattern recognition, Fuzzy rules, Image processing. traitement du signal 2008_volume 25_numero 5 381

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