Skip to main content
Log in

Robust defect detection method for a non-periodic TFT-LCD pad area

  • Regular Paper
  • Published:
International Journal of Precision Engineering and Manufacturing Aims and scope Submit manuscript

Abstract

In this work, we propose an effective inline inspection method for non-repeating patterns on TFT-LCDs which can be quickly applied to current manufacturing processes and easily automated. Given that the TFT-LCD active area is composed of regularly spaced repeating patterns (pixels) inline inspections are possible using relatively simple methods. However, the pad area, which transfers digital signals to the TFT active pattern, is composed of patterns with complex shapes in the form of either shape changing patterns or repeating patterns with varying periods. This makes it very difficult to examine complex patterns in the pad area, because repeating patterns have to be divided into areas with similar repeating frequencies and the inspection parameters have to be set differently, and can cause a bottleneck preventing inspection yield improvements. In this paper, an inspection method using a discrete Fourier transform (DFT) filter and a local threshold binarization method is proposed. We show that the proposed method works on an image having both impedance matching and fan-out areas at a varying frequency with a single parameter set. This setting of parameters also can be done in an automated way.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Abbreviations

x c :

cut-off value (an intensity level)

γ d :

defect weight factor to emphasize a defect

γ o :

origin weight factor for background separation

γ w :

normalization weight factor

References

  1. Park, S.-H., Kim, T.-W., Lee, J.-H., and Pahk, H.-J., “Real-Time Critical Dimension Measurement of Thin Film Transistor Liquid Crystal Display Patterns Using Optical Coherence Tomography,” Journal of Electronic Imaging, Vol. 23, No. 1, Paper No. 013001, 2014.

    Article  Google Scholar 

  2. Doan, N.-T., Moon, J.-H., Kim, T.-W., and Pahk, H.-J., “A Fast Image Enhancement Technique Using a New Scanning Path for Critical Dimension Measurement of Glass Panels,” Int. J. Precis. Eng. Manuf., Vol. 12, No. 13, pp. 2109–2114, 2012.

    Article  Google Scholar 

  3. Lin, K. C., “Study of Automatic Optical Inspection for Golf Logo Quality,” Journal of Electronic Imaging, Vol. 16, No. 3, Paper No. 033016, 2007.

    Article  Google Scholar 

  4. Wang, Z. and Huang, X., “Visual Positioning for Round Pin Chips Based on a Parametric Deformable Template,” Optical Engineering, Vol. 53, No. 5, Paper No. 053110 2014.

    Article  Google Scholar 

  5. Sokolov, S. M. and Treskunov, A. S., “Automatic Vision System for Final Test of Liquid Crystal Displays,” Proc. of IEEE International Conference on Robotics and Automation, pp. 1578–1582, 1992.

    Google Scholar 

  6. Yun, J. P., Choi, S., Seo, B., and Kim, S. W., “Real-Time Vision-Based Defect Inspection for High-Speed Steel Products,” Optical Engineering, Vol. 47, No. 7, Paper No. 077204, 2008.

    Article  Google Scholar 

  7. Lee, C. H., Jeong, C., Chang, M., and Park, P., “Implementation of TFT Inspection System Using the Common Unified Device Architecture (CUDA) on Modern Graphics Hardware,” Proc. of 10th International Conference on Control, Automation, Robotics and Vision, pp. 1899–1902, 2008.

    Google Scholar 

  8. Moreland, K. and Angel, E., “The FFT on a GPU,” Proc. of the ACM SIGGRAPH/EUROGRAPHICS Conference on GRAPHICS Hardware, pp. 112–119, 2003.

    Google Scholar 

  9. Kim, H. W. and Yoo, S. I., “Non Referential Method for Defects Inspection of TFT-LCD Pad,” Proc. of SPIE, Vol. 6813, 2008.

  10. Zhang, H., Guo, Z., Qi, Z., and Wang, J., “Research of Glass Defects Detection Based on DFT and Optimal Threshold Method,” Proc. of International Conference on Computer Science and Information Processing (CSIP), pp. 1044–1047, 2012.

    Google Scholar 

  11. Ngan, H. Y., Pang, G. K., and Yung, N. H., “Automated Fabric Defect Detection-A Review,” Image and Vision Computing, Vol. 29, No. 7, pp. 442–458, 2011.

    Article  Google Scholar 

  12. Nakashima, K., “Hybrid Inspection System for LCD Color Filter Panels,” Proc. of Instrumentation and Measurement Technology Conference, pp. 689–692, 1994.

    Google Scholar 

  13. Lu, C.-J. and Tsai, D.-M., “Defect Inspection of Patterned Thin Film Transistor-Liquid Crystal Display Panels Using a Fast Sub-Image-Based Singular Value Decomposition,” International Journal of Production Research, Vol. 42, No. 20, pp. 4331–4351, 2004.

    Article  MATH  Google Scholar 

  14. Tsai, D.-M., and Hung, C.-Y., “Automatic Defect Inspection of Patterned Thin Film Transistor-Liquid Crystal Display (TFT-LCD) Panels Using One-Dimensional Fourier Reconstruction and Wavelet Decomposition,” International Journal of Production Research, Vol. 43, No. 21, pp. 4589–4607, 2005.

    Article  Google Scholar 

  15. Gonzalez, R. C. and Woods, R. E., “Digital Image Processing,” Prentice Hall, 3rd Ed., 2007.

    Google Scholar 

  16. Shrivakshan, G. T. and Chandrasekar, C., “A Comparison of Various Edge Detection Techniques Used in Image Processing,” IJCSI International Journal of Computer Science Issues, Vol. 9, No. 5, pp. 272–276, 2012.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tai-Wook Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lee, JY., Kim, TW. & Pahk, H.J. Robust defect detection method for a non-periodic TFT-LCD pad area. Int. J. Precis. Eng. Manuf. 18, 1093–1102 (2017). https://doi.org/10.1007/s12541-017-0128-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12541-017-0128-y

Keywords

Navigation