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《Journal of Beijing Institute of Technology》 2002-06
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Gabor Filter-Based Automatic Textile Defect Detection

XIAO Le, ZHU Yuwen, DING Lihong, LIU Wanchun(Dept. of Computer Science and Engineering, Beijing Institute of Technology, Beijing100081, China)  
Present a multichannel Gabor filter scheme for textile defect detection. A textile image is processed using the Gaborfilters in a multiscale and multioriention mode, forming multiimages. Images are reconstructed into one image for defect detection. Experimental results show that the algorithm is robust and is computationally efficient. The overall detection rate reaches 95%.
【Fund】: 中国纺织品进出口总公司资助项目(HK0109-05)
【CateGory Index】: TS101.97
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