• DocumentCode
    2022537
  • Title

    Focused edge detection using color histogram

  • Author

    KASHIWAGI, Toshiyuki ; Egami, Toshihito ; Oe, Shunichiro ; Terada, Kenji

  • Author_Institution
    Electron. Machinery Div., Tokushima Prefectural Ind. Technol. Center, Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    830
  • Abstract
    The purpose of the study is to develop an edge focusing evaluation method that requires little calculation and has robustness in real scenes. By this method, we detect focused edges in the middle image from three captured consecutive images, which have slightly different focuses. Our method is based on the width of blurred edges that are examined by the frequency of the color using an RGB color histogram. It needs no local windows that are set in images to evaluate the focus sharpness by traditional methods. The validity of our method is verified by some experimental results
  • Keywords
    edge detection; image colour analysis; object recognition; RGB color histogram; blurred edges; color histogram; edge focusing evaluation method; focus sharpness; focused edge detection; Color; Electronics industry; Equations; Focusing; Frequency; Histograms; Image edge detection; Industrial electronics; Layout; Machinery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
  • Conference_Location
    Nagoya
  • Print_ISBN
    0-7803-6456-2
  • Type

    conf

  • DOI
    10.1109/IECON.2000.972230
  • Filename
    972230