Color classification using fuzzy inference and genetic algorithm

A new color classification method using an integrated color sensor has been proposed. This method quickly classifies an unknown color into one of the reference colors by simplified fuzzy inference; the membership functions used for the fuzzy inference are optimized by a genetic algorithm. Simulation of classification between analogous standard colors shows the effectiveness of the proposed method. Furthermore, the proposed method classifies low color-difference glass bottles on the basis of their components for recycling.<
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