Dual-algorithm for fabric defect detection based on singular value decomposition

Aiming at the problem that hole and line defects are difficult to be detected simultaneously, a double-algorithm fabric defect detection method based on singular value decomposition was proposed. The image was decomposed by singular value first, and then the background texture was eliminated and the defect area was preserved by Boolean difference set operation between the original image and the eigenvalue image. Following that the mean filtering, histogram average and variance threshold filtering were used to eliminate the interference of texture and noise points and the defect position was determined by morphological processing. The linear defects and hole defects were eventually obtained by using area threshold and variance threshold. Experimental results show that the proposed method not only can effectively detect hole defects, but also has a good performance in detecting linear defects, and the accuracy is significantly higher than the traditional algorithm, which proves the effectiveness and versatility of the proposed method. © 2022 China Textile Engineering Society. All rights reserved.