液晶与显示, 2018, 33 (6): 475, 网络出版: 2018-07-31   

基于自适应局部增强的手机TFT-LCD屏Mura缺陷自动检测

Automatic detection of Mura defect in TFT-LCD mobile screen based on adaptive local enhancement
作者单位
湖南科技大学 计算机科学与工程学院,湖南 湘潭411100
引用该论文

廖苗, 刘毅志, 欧阳军林, 余建勇, 肖文辉, 彭理. 基于自适应局部增强的手机TFT-LCD屏Mura缺陷自动检测[J]. 液晶与显示, 2018, 33(6): 475.

LIAO Miao, LIU Yi-zhi, OU YANG Jun-lin, YU jian-yong, XIAO wen-hui, PENG Li. Automatic detection of Mura defect in TFT-LCD mobile screen based on adaptive local enhancement[J]. Chinese Journal of Liquid Crystals and Displays, 2018, 33(6): 475.

参考文献

[1] 高如新,任晓朵,吴献,等.基于图像处理的手机屏幕缺陷检测系统研究[J].测控技术,2017,36(4):26-30.

    GAO R X, REN X D, WU X, et al. Research on mobile phone screen defect detection system based on image processing [J]. Measurement & Control Technology, 2017, 36(4): 26-30. (in Chinese)

[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.

[3] 刘波,李新华,钱翔,等.手机屏幕图像缺陷的实时检测[J].计算机工程与应用,2010,46(28):77-79.

    LIU B, LI X H, QIAN X, et al. Real time detection of image defect for phone LCD screen [J]. Computer Engineering and Applications, 2010, 46(28): 77-79. (in Chinese)

[4] FAN S K S, CHUANG Y C. Automatic detection of Mura defect in TFT-LCD based on regression diagnostics [J]. Pattern Recognition Letters, 2010, 31(15): 2397-2404.

[5] JIANC X, CAO J, AO Y H. Automatic surface defect detection for mobile phone screen glass based on machine vision [J]. Applied Soft Computing, 2017, 52: 348-358.

[6] 温招洋,周亚丽,张奇志.基于DCT和Otsu的LCD缺陷检测算法[J].北京信息科技大学学报:自然科学版,2017,32(2):50-54.

    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, 2017, 32(2): 50-54. (in Chinese)

[7] GUE, PARK K H, LEE J H, et al. TFT-LCD defect detection based on histogram distribution modeling [J]. Journal of Korea Multimedia Society, 2015, 18(12): 1519-1527.

[8] GU E, PARK K H. Defect Detection algorithm of TFT-LCD polarizing film using the probability density function based on cluster characteristic [J]. Journal of Korea Multimedia Society, 2016, 19(3): 633-641.

[9] WANG X, DONG R, LI B. TFT-LCD Mura defect detection based on ICA and multi-channels fusion [C]//Proceedings of 3rd International Conference on Information Science and Control Engineering. Beijing, China: IEEE, 2016: 687-691.

[10] 许祖鑫,毕明德,孙志刚.基于数学形态学的手机屏缺陷检测算法设计[J].电气自动化,2013,35(3):99-101,105.

    XU Z X, BI M D, SUN Z G. Design of defect inspection algorithm for mobile screen based on mathematical morphology [J]. Electrical Automation, 2013, 35(3): 99-101, 105. (in Chinese)

[11] 刘毅,郑学仁,王亚南,等.MATLAB在TFT-LCD屏显示MURA缺陷检测的应用[J].液晶与显示,2007,22(6):731-736.

    LIU Y, ZHENG X R, WANG Y N, et al. Application of MATLAB in TFT-LCD’s MURA defect detection [J]. Chinese Journal of Liquid Crystals and Displays, 2007, 22(6): 731-736. (in Chinese)

[12] OTSU N. A threshold selection method from gray-level histograms [J]. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66.

廖苗, 刘毅志, 欧阳军林, 余建勇, 肖文辉, 彭理. 基于自适应局部增强的手机TFT-LCD屏Mura缺陷自动检测[J]. 液晶与显示, 2018, 33(6): 475. LIAO Miao, LIU Yi-zhi, OU YANG Jun-lin, YU jian-yong, XIAO wen-hui, PENG Li. Automatic detection of Mura defect in TFT-LCD mobile screen based on adaptive local enhancement[J]. Chinese Journal of Liquid Crystals and Displays, 2018, 33(6): 475.

本文已被 5 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!