DocumentCode
2269944
Title
Color classification using fuzzy inference and genetic algorithm
Author
Sakurai, Masami ; Kurihara, Yukio ; Karasawa, Shiro
Author_Institution
Ind. Res. Inst. of Kanagawa Prefecture, Yokohama, Japan
fYear
1994
fDate
26-29 Jun 1994
Firstpage
1975
Abstract
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
Keywords
colour; fuzzy set theory; genetic algorithms; image recognition; inference mechanisms; uncertainty handling; color classification; fuzzy inference; fuzzy set theory; genetic algorithm; glass bottles; integrated color sensor; membership functions; Bismuth; Detectors; Fluctuations; Genetic algorithms; Glass products; Lamps; Light sources; Optimization methods; Recycling; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1896-X
Type
conf
DOI
10.1109/FUZZY.1994.343538
Filename
343538
Link To Document