• DocumentCode
    2049190
  • Title

    The ship target detection 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
    2397
  • Lastpage
    2401
  • Abstract
    Combing with the characteristics of sea-sky-line in panoramic image and a complicated sea-sky background, a sea-sky-line extraction algorithm for panoramic image and a ship target detection method around sea-sky-line was proposed. 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. Finally, the ship target on sea-sky-line detection method was introduced based on 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.
  • Keywords
    edge detection; elliptic equations; object detection; ships; canny edge detection method; edge thining; ellipse fitting; longest curve method; panoramic image; partition adaptive threshold; sea-sky background; sea-sky-line detection method; sea-sky-line edge extraction algorithm; sea-sky-line elliptic equation; sea-sky-line extraction algorithm; ship target detection method; Bismuth; Cameras; Image edge detection; Marine vehicles; Object detection; Partitioning algorithms; edge detection; panoramic image; sea-sky-line extraction; ship target detection;
  • 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.2015.7237862
  • Filename
    7237862