LOG-filter-based inspection of cluster Mura and vertical-band Mura on liquid crystal displays
Author(s) -
Hsin-Chia Chen,
Li-Te Fang,
Louis Lee,
ChaoHua Wen,
Shangyuan Cheng,
Sheng-Jyh Wang
Publication year - 2005
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.586688
Subject(s) - mura , curvature , filter (signal processing) , cluster (spacecraft) , computer vision , computer science , artificial intelligence , liquid crystal display , mathematics , geometry , programming language , operating system
In this paper, we propose the use of Laplacian of Gaussian (LOG) filters in the detection of Cluster Mura defects and Vertical-Band Mura defects on Liquid Crystal Displays. To detect Cluster Mura defects, 2-D LOG filters with their shapes matching the shapes of Cluster Mura are adopted. The optimal threshold for the detection of Cluster Mura is determined based on the SEMU formula. On the other hand, to detect Vertical-Band Mura, a 1-D LOG filter is used over the projected 1-D intensity profile to check if the variation tendency of the intensity profile is changed. The portions with inconsistently intensity variation are regarded as the portions where V-Band Muras occur. The simulation results demonstrate the LOG filters are very useful in the detection of Mura defects.
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