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.
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Schmitt, E., Bombardier, V., Vogrig, R. (2005). Fuzzy Linguistic Rules Classifier for Wooden Board Color Sorting. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_20
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DOI: https://doi.org/10.1007/11558484_20
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