• DocumentCode
    1624083
  • Title

    An Efficient Vision Algorithm for fast and fine Mask-Panel Alignment

  • Author

    Park, ChanSik ; Kwon, SangJoo

  • Author_Institution
    Sch. of Aerosp. & Mech. Eng., Hankuk Aviation Univ., Goyang
  • fYear
    2006
  • Firstpage
    1441
  • Lastpage
    1445
  • Abstract
    In a display or semiconductor mass production line, it is highly required to make an advance for the alignment process technology to reduce the overall tact time. If the vision that extracts the misalignment quantity between mask and panel is progressed, there are a lot of chances to achieve higher productivity. In this paper, based on these underlying assumptions to reduce the tact time, we focus on upgrading the level of vision algorithm which determines the misalignment between mask and panel. First of all, we are to investigate existing algorithms and propose an effective machine vision algorithm for the alignment system. Then, by using the visual alignment experimental setup composed of CCD camera and control PC, we verify how well it performs
  • Keywords
    computer vision; feature extraction; pattern matching; CCD camera; feature extraction; fine mask-panel alignment; machine vision algorithm; pattern matching; Aerospace engineering; Displays; Labeling; Machine vision; Mechanical engineering; Morphology; Noise shaping; Pattern matching; Pattern recognition; Shape; Visual alignment; feature pixel; labeling; morphology; pattern matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE-ICASE, 2006. International Joint Conference
  • Conference_Location
    Busan
  • Print_ISBN
    89-950038-4-7
  • Electronic_ISBN
    89-950038-5-5
  • Type

    conf

  • DOI
    10.1109/SICE.2006.315757
  • Filename
    4109194