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《Journal of Mechanical Engineering》 2010-12
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Machine Vision Inspection Method of Mura Defect for TFT-LCD

BI Xin DING Han (School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240)  
The automatic machine vision inspection way is studied for the Mura defect of TFT-LCD,aiming at the importance of defect inspection and the shortcoming of manual inspection in liquid crystal display (LCD) process.Mura is local lightness variation with low contrast,blurry contour,uneven brightness and textured background.Based on the Semiconductor Equipment and Materials International (SEMI) standard for Mura and the LCD vision inspection platform,the inspection algorithms are researched,including the textured background suppression method using real Gabor filtering,the adjustment of brightness unevenness with homomorphic transform and independent component analysis,the Mura segmentation using active contour model and level set method and the Mura quantification based on SEMI standard.The automatic inspection process is set up by synthesizing the researches proposed above.The inspection experiments show that the proposed method can suppress the textured background,eliminate the unevenness and moire fringe in background,accurately segment defects and carry out quantitative evaluation.The proposed method is applicable to automatic inspection of Mura defect with good robustness and similar to vision characteristic of human eyes.And,for 50 LCD samples,48 samples are inspected accurately.
【Fund】: 国家自然科学基金(50805097);; 国家高技术研究发展计划(863计划 2007AA04Z316);; 上海市科学技术委员会(075007004)资助项目
【CateGory Index】: TP391.41
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【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 ZHANG Li-yu, WU Xiang, LIU Jin-gao (Department of Electronic Science and Technology, East China Normal University, Shanghai 200241, China);The Blind Robust Watermarking of Digital Images Based on ICA[J];Video Engineering;2008-S1
2 ZHOU Zhan-rong,ZHAO Xiao-ming,LIU Hao-chun,ZHENG Li-lin(Department of Physics,Second Artillery Engineering College,Xian 710025,China);A new method of adjusting interference fringe with uneven brightness[J];Optical Technique;2007-S1
3 ZHANG Yu-bo,HUANG Hui-ying(The School of Electrical Engineering in Zhengzhou University,Zhengzhou 450001,China);New algorithm of blind image separation in noisy mixtures based on independence component analysis[J];Laser & Infrared;2009-06
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