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An automated cotton contamination detection system is economical and efficient to guarantee higher textile quality and lower production cost. A vision system is proposed to realize a fully automated cotton inspection scheme. In the system, cotton contamination is detected based on texture feature. Gray Level Co-occurrence Matrix (GLCM) algorithm is adopted to detect the sharp contrast objects. A rotating...
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