[2] Wang H S, Yang Y Y. Surface defect inspection of TFT-LCD panels based on improved saliency model[J]. Journal of Electronic Measurement and Instrumentation, 32, 29-35(2018).
[3] Li Y N, Zeng Q H, Zhang Y Y et al. Mura detection and positioning in picture based on BP neural network[J]. Opto-Electronic Engineering, 47, 63-70(2020).
[4] Liao M, Liu Y Z, Ouyang J L et al. Automatic detection of Mura defect in TFT-LCD mobile screen based on adaptive local enhancement[J]. Chinese Journal of Liquid Crystals and Displays, 33, 475-482(2018).
[5] Wen Z Y, Zhou Y L, Zhang Q Z. Defect detection algorithm of LCD based on DCT and Otsu[J]. Journal of Beijing Information Science & Technology University, 32, 50-54(2017).
[6] Qian J D, Chen B, Qian J Y et al. Machine vision based inspection method of Mura defect for LCD[J]. Computer Science, 45, 296-300, 313(2018).
[9] Zhou P, Li Q, Zeng S G et al. Surface crack detection method for ceramic tile based on Hessian matrix multi-scale filtering[J]. Laser & Optoelectronics Progress, 57, 101022(2020).
[10] Chi H. Online detection method of woven bag defects based on machine vision[J]. Laser & Optoelectronics Progress, 57, 201507(2020).
[11] Song B, Yan N, Zhu L L et al. A periodic structural parameter inspection method based on spectrum characteristics[J]. Laser & Optoelectronics Progress, 57, 121008(2020).
[12] Achanta R, Estrada F, Wils P et al. Salient region detection and segmentation[M]. Gasteratos A, Vincze M, Tsotsos J K. Computer vision systems, 5008, 66-75(2008).