• DocumentCode
    3238160
  • Title

    Morphological skeleton algorithm for PDP production line inspection

  • Author

    Ge, Renyan ; Clausi, David A.

  • Author_Institution
    Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1117
  • Abstract
    Morphological skeletonization is an image processing technique that reduces complex, thick-lined images to a series of single pixel lines that accurately represent the original shapes. This procedure is especially useful to simplify automated applications requiring simple shape analysis and continuity checking by reducing the amount of redundant image data. In the semiconductor inspection field, skeletonization is a process that can be used to detect defects during plasma display panel (PDP) inspection. This paper introduces a novel morphological skeletonization algorithm developed for electrode pattern inspection of PDPs. This algorithm has been successfully integrated within a commercial machine vision system
  • Keywords
    computer vision; feature extraction; image matching; image representation; image thinning; inspection; mathematical morphology; plasma displays; production; semiconductor device testing; PDP inspection; PDP production line inspection; automated applications; commercial machine vision system; continuity checking; defects detection; electrode pattern inspection; feature point matching; image processing; morphological skeleton algorithm; plasma display panel; redundant image data reduction; semiconductor inspection; shape analysis; shape representation; single pixel lines; thick-lined images; Electrodes; Image analysis; Image processing; Inspection; Machine vision; Pixel; Plasma displays; Production; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2001. Canadian Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-6715-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2001.933598
  • Filename
    933598