English  |  正體中文  |  简体中文  |  Items with full text/Total items : 57970/91504 (63%)
Visitors : 13691139      Online Users : 67
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/74571

    Title: 液晶面板Mura瑕疵偵測之研究
    Other Titles: A study of Mura defect detection on LCD panels
    Authors: 陳麒遠;Chen, Chi-Yuen
    Contributors: 淡江大學資訊工程學系碩士班
    洪文斌;Horng, Wen-Bing
    Keywords: ;面板檢測;邊緣偵測;高斯模糊;自動光學檢測;MURA;LCD Inspection;Edge detection;Gaussian Blur;AOI
    Date: 2011
    Issue Date: 2011-12-28 18:55:11 (UTC+8)
    Abstract:   薄膜液晶螢幕顯示器為現今主流的數位設備輸出顯示所使用的介面,因為它輕薄、消耗功率低、解析度強、等等優點,所以被大量採用。在生產面板過程中,可能會在面板上產生不均勻的亮暗點,即為瑕疵的地方,在檢測瑕疵點上,目前還是以人工檢測為主,需要依靠大量的人力,以及因為主觀造成的不穩定偵測標準,也帶來面板生產效能的受限,若能架構自動化偵測系統,可以減少人力,也可以穩定偵測的標準,進而提升生產效能。
      Panel in the production process, it may be non-uniform on the panel points of light and dark, where is the flaw. On the detection of defects, mainly based on manual inspection currently, it need to rely on a large number of human, and because of the instability caused by the subjective standard detection, it also brings the performance of limited panel production, if automatic detection system architecture, it can reduce the human, and detect the standard stable, thus enhance the production efficiency. In this paper, purpose is to design non-uniform light LCD screen dark spot (MURA) method automatically detects, and then used in LCD production line automatic inspection system. This paper presents, using image processing methods, point defects and the background to enhance the image contrast, thus the use of edge detection methods to detect defects in point of the region.
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Thesis

    Files in This Item:

    File SizeFormat

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback