An Improved Defect Detection Algorithm of Jean Fabric Based on Optimized Gabor Filter

Shuangbao Ma; Wen Liu; Changli You; Shulin Jia; Yurong Wu

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자료유형: 학술저널

저자정보: Shuangbao Ma (Wuhan Textile University) Wen Liu (Wuhan Textile University) Changli You (Wuhan Textile University) Shulin Jia (Wuhan Textile University) Yurong Wu (Wuhan Textile University)

저널정보: 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제16권 제5호

발행연도: 2020.1

수록면: 1,008 - 1,014 (7page)

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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%.

#Defect Detection #Denim Fabric #False Defect Removal #Gabor Filter #Iterative Segmentation

참고문헌 (11)

참고문헌 신청

K. Yang / 2016 / Fabric defects detection based on the optimal Gabor filters / Journal of Zhangzhou Teachers College(Natural Science Edition) 2016(1):39~45

T. Xue / 2017 / Learning-based Gabor filter in multi-style fabric defect detection / Journal of Xi'an Polytechnic University 31(6):775~780

M. Yu / 2016 / Warp knit fabric defect detection method based on optimal Gabor filter / Journal of Textile Research 37(11):48~54

W. Li / 2016 / New progress of fabric defect detection based on computer vision and image processing / Journal of Textile Research 35(3):158~164

X. Min / 2015 / Fabric defect detection based on gray level co-occurrence matrix using image block processing / Information Technology 2018(5):90~93

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