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Automatic TFT-LCD Mura Inspection Based on Studentized Residuals in Regression Analysis

Chuang, Yu-Chiang    (Department of Industrial Engineering and Management Yuan Ze University   ); Fan, Shu-Kai S.    (Department of Industrial Engineering and Management Yuan Ze University  );
  • 초록

    In recent days, large-sized flat-panel display (FPD) has been increasingly applied to computer monitors and TVs. Mura defects, appearing as low contrast or non-uniform brightness region, sometimes occur in manufacturing of the Thin-Film Transistor Liquid-Crystal Displays (TFT-LCD). Implementation of automatic Mura inspection methods is necessary for TFT-LCD production. Various existing Mura detection methods based on regression diagnostics, surface fitting and data transformation have been presented with good performance. This paper proposes an efficient Mura detection method that is based on a regression diagnostics using studentized residuals for automatic Mura inspection of FPD. The input image is estimated by a linear model and then the studentized residuals are calculated for filtering Mura regions. After image dilation, the proposed threshold is determined for detecting the non-uniform brightness region in TFT-LCD by means of monitoring the every pixel in the image. The experimental results obtained from several test images are used to illustrate the effectiveness and efficiency of the proposed method for Mura detection.


  • 주제어

    Mura Defects .   Regression Analysis .   TFT-LCD Manufacturing .   Studentized Residuals.  

  • 참고문헌 (8)

    1. Pratt, W. K., Sawkar S. S., and O'reilly, K. (1998), Automatic blemish detection in liquid crystal flat panel displays, IS&T/SPIE Symposium on electronic imaging: Science and Technology, 3306, San Jose, California 
    2. VESA (2001), Flat Panel Display Measurements. Standard Ver. 2.0. June 1 
    3. Wang, Z. Y. and Ma, L. (2006) Implementation of regionmura detection based on recursive polynomial-surface fitting algorithm. Proceedings of the 2nd Asia International Symposium on Mechatronics, Hong Kong, China, 1-6 
    4. Montgomery, D. C. and Peck, E. A. (1992), Introduction to Linear Regression Analysis, 2nd edition, Wiley-Interscience 
    5. Lu, C. J. and Tsai, D. M. (2008), Independent component analysis-based defect detection in patterned liquid crystal display surfaces, Image and Vision Computing, 26, 955-970 
    6. Lu, C. J. and Tsai, D. M. (2005), Automatic Defect Inspection for LCDs Using Singular Value Decomposition. The International Journal of Advanced Manufacturing Technology, 25, 53-61 
    7. Gonzalez, R. C. and Woodes, R. E. (2002), Digital image Processing, 2nd edition, Prentice Hall 
    8. Lee, J. Y. and Yoo, S. I. (2004), Automatic detection of region-mura defect in TFT-LCD, IEICE Transactions on Information and Systems, E87-D(10), 2371-2378 
  • 이 논문을 인용한 문헌 (1)

    1. Lee, SeungMin ; Kim, Tae-Hun ; Park, Kil-Houm 2014. "Sequential Defect Detection According to Defect Possibility in TFT-LCD Panel Image" Journal of the Institute of Electronics and Information Engineers = 전자공학회논문지, 51(4): 123~130     

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