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An Improved Defect Detection Algorithm of Jean Fabric Based on Optimized Gabor Filter
Shuangbao Ma,Wen Liu,Changli You,Shulin Jia,Yurong Wu 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.5
Aiming at the defect detection quality of denim fabric, this paper designs an improved algorithm based on theoptimized Gabor filter. Firstly, we propose an improved defect detection algorithm of jean fabric based on themaximum two-dimensional image entropy and the loss evaluation function. Secondly, 24 Gabor filter bankswith 4 scales and 6 directions are created and the optimal filter is selected from the filter banks by the onedimensionalimage entropy algorithm and the two-dimensional image entropy algorithm respectively. Thirdly,these two optimized Gabor filters are compared to realize the common defect detection of denim fabric, suchas normal texture, miss of weft, hole and oil stain. The results show that the improved algorithm has betterdetection effect on common defects of denim fabrics and the average detection rate is more than 91.25%.