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A method (GLCM-BP) which combines Gray-level Co-occurrence Matrix (GLCM) with back projection is proposed according to the fabric defect detection. Firstly the principle of GLCM-BP is introduced. Then the fabric defect detection process is given, and the parameters of distance namely d and gray levels namely N of GLCM are analyzed and optimized, and appropriate methods of filtering and adaptive threshold segmentation are adopted to detect the defects. At the same time, detection result on seven kinds of common defects is presented. Finally, this method is compared with GLCM method on the detection rate. The results show that proposed method has good defect segmentation effect and can significantly improve the defect detection rate.