The Application of Independent Component Analysis Method on the Mura Defect Inspection of LCD Process

被引:0
|
作者
Bi, Xin [1 ]
Xu, Xiaoping [1 ]
Shen, Jinhua [2 ]
机构
[1] Univ Shanghai Sci & Technol, Coll Shanghai Med Instrumentat, Shanghai 200093, Peoples R China
[2] Shanghai Micro Elect Equipment Co LTD, Shanghai 201203, Peoples R China
关键词
LCD; defect inspection; homomorphic transform; independent component analysis; brightness adjustment; TFT-LCD;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In the Mura defect inspection for TFT-LCD, the uneven brightness of image have directly influence to the inspection results. In order to adjust the brightness unevenness of LCD image, this paper proposed a new method which combining the homomorphic transform and the independent component analysis method. The homomorphic transform method transformed the multiplicative uneveness into additive one and then the independent component analysis method estimated and separated the mixed source signals and noise signals. The inverse homomorphic transform method estimated signals without noise, and the target image after brightness adjustment was gotten finally. The experiment results show that this method can restrain the brightness unevenness and the moire fringe of image and strengthen the defects.
引用
收藏
页码:321 / 330
页数:10
相关论文
共 50 条
  • [31] Application of independent component analysis to microarrays
    Su-In Lee
    Serafim Batzoglou
    [J]. Genome Biology, 4
  • [32] Application of independent component analysis to microarrays
    Lee, SI
    Batzoglou, S
    [J]. GENOME BIOLOGY, 2003, 4 (11)
  • [33] Automated inspection of textile defects using independent component analysis
    Sezer, OG
    Ertüzün, A
    Erçil, A
    [J]. PROCEEDINGS OF THE IEEE 12TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, 2004, : 743 - 746
  • [34] State Inspection for Transmission Lines Based on Independent Component Analysis
    任丽佳
    江秀臣
    盛戈嗥
    杨巍巍
    [J]. Journal of Shanghai Jiaotong University(Science), 2009, 14 (02) : 129 - 132
  • [35] State inspection for transmission lines based on independent component analysis
    Ren L.-J.
    Jiang X.-C.
    Sheng G.-H.
    Yang W.-W.
    [J]. Journal of Shanghai Jiaotong University (Science), 2009, 14 E (02) : 129 - 132
  • [36] A development of the TFT-LCD image defect inspection method based on human visual system
    Oh, Jong-Hwan
    Yun, Byoung-Ju
    Kim, Se-Yun
    Park, Kil-Houm
    [J]. IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2008, E91A (06) : 1400 - 1407
  • [37] A Kernel Time Structure Independent Component Analysis Method for Nonlinear Process Monitoring
    Cai, Lianfang
    Tian, Xuemin
    Zhang, Ni
    [J]. CHINESE JOURNAL OF CHEMICAL ENGINEERING, 2014, 22 (11-12) : 1243 - 1253
  • [38] An Adaptive Independent Component Analysis Method
    Mu, Chang
    Li, Weiqin
    [J]. PROCEEDINGS OF THE 2015 INTERNATIONAL SYMPOSIUM ON COMPUTERS & INFORMATICS, 2015, 13 : 1097 - 1104
  • [39] A new independent component analysis (ICA) method and its application to SAR images
    Zhang, XH
    Chen, CH
    [J]. NEURAL NETWORKS FOR SIGNAL PROCESSING XI, 2001, : 283 - 292
  • [40] Innovation process for temporal independent component analysis
    Wang, G
    Wu, T
    Hu, DW
    He, HG
    [J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 3106 - 3110