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80%。An online classification system was developed based on automated visual inspection (AVI) technology to classify the foreign fibers detected in cotton. The proposed system uses a lint layer generator to bring the foreign fibers buried inside the lint to the surface, to make them easy to be “seen”. A Piranha color camera with a tri-linear CCD sensor was used to detect color foreign fibers, and a Piranha2 line scan CCD camera was employed to detect the white foreign fibers which can emit fluorescence under the ultraviolet excitation. Then a fuzzy classifier integrating multiple classifiers was designed for the classification of the detected foreign fibers. The results indicate that the mean veracity of classification of foreign fibers reaches 80%. 