Inspection of circuit defect on LCD panel based on image contour analysis
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Department School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu 610054, China
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Corresponding author:
YE Yu-tang, ytye@uestc.edu.cn
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Received Date:
2012-07-19
Accepted Date:
2012-08-23
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Abstract
In order to avoid the impact of image registration precision on detection accuracy, a novel approach for circuit defect inspection on liquid crystal displary(LCD)panel was adopted based on image contour analysis. The contours were found by depth first search(DFS), and their areas were calculated according to Green formula. In order to ascertain whether there are any defects such as short, open, hole and island on this LCD, the circuit contours' areas of the LCD to be detected are compared with the areas of standard template. This method needs no image registration, therefore, precision requirement for algorithm is reduced and detection accuracy is improved. Through the experiment on 200 small LCDs, the accuracy comes up to 99%. The results show that all contours are found and their areas are calculated correctly and rapidly. With comparison of areas instead of images, the accuracy of detecting defects such as short and open circuit is improved. This method has great application future in the field of defect detection for LCD circuits.
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References
[1]
|
YEH Ch H, WU F Ch. An image enhancement technique in inspecting visual defects of polarizers in TFT-LCD industry //International Conference on Computer Modeling and Simulation, 2009. ICCMS 2009. Macau, China:IEEE Press,2009: 257-259. |
[2]
|
KIM H W, YOO S I. Non referential method for defects inspection of TFT-LCD pad[J].Proceedings of SPIE,2008,6813:V8130. |
[3]
|
LU Z Q, PENG Y L. A defect Inspection algorithm for LCD touch screen//TICISE 2009 Proceedings of the 2009 First IEEE International Conference on Information Science and Engineering. Nanjing, China:IEEE Press,2009: 1031-1034. |
[4]
|
SCHEURING G. New approach for defect inspection on large area masks[J]. Proceedings of SPIE, 2007,6533:65331H. |
[5]
|
JEONG Ch K, YOO J W, PARK P G. A defect inspection method for TFT panel using the compute unified device architecture (CUDA)//IEEE International Symposium on Industrial Electronics. Seoul, Korea:IEEE Press,2009: 779-782. |
[6]
|
KANG S B, LEE M S, PAHK H J. Development of AOI(automatic optical inspection) system for defect inspection of patterned TFT-LCD panels using adjacent pattern comparison and border expansion algorithms[J]. Journal of Institute of Control, Robotics and Systems, 2008,14(5): 444-452. |
[7]
|
BLOOMBERG D S, VINCENT L. Pattern matching using the blur hit-miss transform[J]. Journal of Electronic Imaging, 2000, 9(2): 140-150. |
[8]
|
DOH Y H, KIM J Ch, KIM J W, et al. New morphological detection algorithm based on the hit-miss transform[J]. Society of Photo-Optical Instrumentation Engineers,2002,41(1): 26-31. |
[9]
|
SUZUKI S, BE K. Topological structural analysis of digitized binary images by border following[J]. Computer Vision, Graphics, and Image Processing, 1985, 30(1): 32-46. |
[10]
|
CORMEN T H, LEISERSON C E, RIVEST R L, et al. Introduction to Algorithms[M]. 2nd ed. Beijing: China Machine Press,2006: 330-335. |
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Proportional views
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