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    請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/103226


    題名: Detection of gap mura in TFT LCDs by the interference pattern and image sensing method
    作者: 張榮森;Tsai, Jang Zern;Chang, Rong-Seng;Li, Tung-Yen
    貢獻者: 理學院光電科學與工程學系
    關鍵詞: Defects;Glass;I/Image classification;I/Image processing;Inspection;Interference;L/Liquid crystal displays;L/Liquid crystals;Liquid crystal displays;O/Optical signal detection;Production;Studies;Thin film transistors
    日期: 2013-07-18
    上傳時間: 2026-04-23 11:26:08 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers Inc.;New York: IEEE
    摘要: 摘要: In this paper, we focus on pretesting to find the gap mura defects before the injection of liquid crystal into the cell of a thin-film-transistor liquid-crystal display panel. An optical interference pattern sensing method for inspection of the gap mura defects is used. We propose automatic quantization of mura panel defects in terms of the crossing points of the interference pattern. By doing so, panels with unacceptable gap mura could be sorted out simply by a binary classification, which facilitates automated visual inspection. The advantages of using this method include that it allows for pretesting before the injection of liquid crystal, meaning that defective panels can be found before the next process step and the wastage of liquid crystal materials can be avoided. The yield rate and manufacturing process efficiency can be improved and the inspection time can be shortened from 20 s by human inspection to less than 2 s by automatic inspection. Experiment results show that the proposed method offers improved performance for gap mura detection.
    其他題名: TIM
    出版者: New York: IEEE
    出版日期: 2013-11-01
    出處: IEEE transactions on instrumentation and measurement, 2013-11, Vol.62 (11), p.3087-3092
    資源來源: IEEE Electronic Library (IEL)
    版權: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Nov 2013
    識別號: ISSN: 0018-9456
    識別號: EISSN: 1557-9662
    識別號: DOI: 10.1109/TIM.2013.2270049
    識別號: CODEN: IEIMAO
    顯示於類別:[光電科學與工程學系] 期刊論文

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