• DocumentCode
    786235
  • Title

    Subpixel edge location in binary images using dithering

  • Author

    Liu, Xiangdong ; Ehrich, Roger W.

  • Author_Institution
    Dept. of Comput. Sci., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • Volume
    17
  • Issue
    6
  • fYear
    1995
  • fDate
    6/1/1995 12:00:00 AM
  • Firstpage
    629
  • Lastpage
    634
  • Abstract
    This paper concerns the problem of obtaining subpixel estimates of the locations of straight edges in binary digital images using dithering. By adding uniformly distributed independent random noise it is shown that estimation bias may be removed and that the estimation variance is inversely proportional to the length of the line segment. The sensitivity to incorrect dither amplitude is calculated, and implementation is discussed
  • Keywords
    edge detection; random noise; binary images; dithering; subpixel edge location; subpixel estimates; uniformly distributed independent random noise; Computer vision; Digital images; Image reconstruction; Image storage; Inspection; Intelligent sensors; Pattern analysis; Pattern recognition; Position measurement; Writing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.387511
  • Filename
    387511