Chinese Journal of Liquid Crystals and Displays, Volume. 36, Issue 10, 1395(2021)
Mura defect detection based on effective background reconstruction and contrast enhancement
[2] [2] CEN Y G, ZHAO R Z, CEN L H, et al. Defect inspection for TFT-LCD images based on the low-rank matrix reconstruction [J]. Neurocomputing, 2015, 149: 1206-1215.
[7] [7] TSAI D M, TSENG Y H, CHIU W Y. Surface defect detection in low-contrast images using basis image representation [C]//2015 14th IAPR International Conference on Machine Vision Applications (MVA). Tokyo: IEEE, 2015: 186-189.
[8] [8] WANG X, DONG R, LI B. TFT-LCD Mura defect detection based on ICA and multi-channels fusion [C]//2016 3rd International Conference on Information Science and Control Engineering (ICISCE). Beijing: IEEE, 2016: 687-691.
[9] [9] CHEN L C, KUO C C. Automatic TFT-LCD Mura defect inspection using discrete cosine transform-based background filtering and 'just noticeable difference' quantification strategies [J]. Measurement Science and Technology, 2007, 19(1): 015507.
[10] [10] JIN S Q, JI C, YAN C C, et al. TFT-LCD Mura defect detection using DCT and the dual-γ piecewise exponential transform [J]. Precision Engineering, 2018, 54: 371-378.
[11] [11] PARK J S, LEE S H. Automatic Mura detection for display film using mask filtering in wavelet transform [J]. IEICE Transactions on Information and Systems, 2015, E98-D(3): 737-740.
[12] [12] FAN S K S, CHUANG YC. Automatic detection of Mura defect in TFT-LCD based on regression diagnostics [J]. Pattern Recognition Letters, 2010, 31(15): 2397-2404.
[13] [13] MA Z Q, GONG J. An automatic detection method of Mura defects for liquid crystal display [C]//2019 Chinese Control Conference (CCC). Guangzhou: IEEE, 2019: 7722-7727.
[16] [16] LEE J. Region-based machine learning for OLED Mura defects detection [J]. SID Symposium Digest of Technical Papers, 2021, 52(1): 200-203.
Get Citation
Copy Citation Text
HU Liang, HU Xue-juan, HUANG Zhen-hong, XU Lu, HU Kai, ZHANG Jia-ming. Mura defect detection based on effective background reconstruction and contrast enhancement[J]. Chinese Journal of Liquid Crystals and Displays, 2021, 36(10): 1395
Category:
Received: Jul. 5, 2021
Accepted: --
Published Online: Nov. 6, 2021
The Author Email: