• DocumentCode
    2049401
  • Title

    The sea-sky-line edge detection method based on panoramic images

  • Author

    Wenkun Bian ; Qidan Zhu

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    2443
  • Lastpage
    2448
  • Abstract
    In order to realize automatic ship target detection with panoramic camera in the marine environment, a sea-sky-line extraction algorithm for panoramic image. Firstly, an improved canny edge detection method based on partition adaptive threshold was used. Then after edge thining, the sea-sky-line edge extraction algorithm was proposed based on the longest curve method and the ellipse fitting was performed to get the sea-sky-line elliptic equation. The experimental results prove that this method can effectively detect the sea-sky-line under complex sea-sky background. The success rate can be up to 93% and the time cost is 46ms/frame, which is robust and real-time.
  • Keywords
    edge detection; elliptic equations; image segmentation; image thinning; object detection; ships; automatic ship target detection; canny edge detection method; edge thinning; ellipse fitting; longest curve method; marine environment; panoramic images; partition adaptive threshold; sea-sky-line edge detection method; sea-sky-line edge extraction algorithm; sea-sky-line elliptic equation; Bismuth; Cameras; Filtering; Fitting; Image edge detection; Partitioning algorithms; adaptive threshold; edge detection; panoramic image; sea-sky-line extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237870
  • Filename
    7237870