English  |  正體中文  |  简体中文  |  Items with full text/Total items : 72880/72880 (100%)
Visitors : 23067325      Online Users : 457
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://ir.lib.ncu.edu.tw/handle/987654321/2650

    Title: 圓形偵測在OLED Panel 檢測上的應用;Circular detection is on the OLED Panel application
    Authors: 林學宏;Owen Lin
    Contributors: 機械工程研究所碩士在職專班
    Keywords: 機器視覺;OLED;machine vision;OLED
    Date: 2005-12-22
    Issue Date: 2009-09-21 11:52:57 (UTC+8)
    Publisher: 國立中央大學圖書館
    Abstract: 摘要 本研究乃是利用機器視覺技術來精確估算有機發光顯示器(Organic Light-Emitting Diodes,OLED)不良品管制線上定位檢測。研究方向主要針對有機發光顯示器上軟性電路板定位用之圓型特徵做檢測,另外為符合人性化操作不需特別框選檢出範圍即可自動尋找出特徵位置並計算出補償值。在線上檢測過程中,先利用目標物的邊緣特徵尋找出外型輪廓,以此為基準點經過影像運算後找出兩個圓形定位孔。檢測進行步驟為,先利用中值化濾波減少雜訊,再經由二值化處理、邊緣與圓形特徵尋找以及配合角度偏差量較大所使用之快速圓心搜尋法來判斷出目標物所在位置。最後本研究實際擷取108張影像作為檢測樣本,以驗證所提方法可行性並獲得高穩定度品質檢驗,做到全面的品質檢驗的目。 Summary This thesis is to implement the on-line machine vision technologies to precisely locate the positions of OLED products during manufacturing processes. The aspect of study is to inspect the circular characteristics of FPC on OLED. During operations, the users don’t have to specify the inspection range and the system will automatically locate the circular positions and estimate the offset values using the characteristic of object’s edges. After estimating, the base line between two circular holes is located and the orientations of OLED can be calculated. The inspection includes three steps, i.e., noise filtering, edge detecting and circles locating and orientations determining. To verify this system, 108 images of OLED samples are captured to prove the feasibility. The experiment results show that the errors of inspection of all samples are less than the requirement. Moreover, more than 92% of samples are even less than the half of the requirement.
    Appears in Collections:[機械工程學系碩士在職專班 ] 博碩士論文

    Files in This Item:

    File SizeFormat

    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback  - 隱私權政策聲明