• DocumentCode
    2797942
  • Title

    A Modified Canny Algorithm for Detecting Sky-Sea Line in Infrared Images

  • Author

    Jun-Wei Lu ; Ren, Jian-cun ; Yi Lu ; Yuan, Xiao-Hu ; Wang, Chen-gang

  • Author_Institution
    Dept. of Control Eng., Naval Aeronaut. Eng. Inst., Yantai
  • Volume
    2
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    289
  • Lastpage
    294
  • Abstract
    Detecting sky-sea line is very important to identify targets for missile imaging guidance. As traditional Canny algorithm gives out too many edges in infrared images with sky-sea background, an modified Canny algorithm is suggested to detect the sky-sea line in this paper In this algorithm, the Canny method is combined with a median filter, its two thresholds are designed to be adaptive based on the properties of these infrared images. A criterion is set up to distinguish the sky-sea line from other objects in an image. The complete algorithm for locating the sky-sea line is given
  • Keywords
    edge detection; image segmentation; infrared imaging; median filters; military computing; missile guidance; Canny algorithm; image thresholding; infrared imaging; median filter; missile imaging guidance; sky-sea line detection; target identification; Adaptive filters; Aerospace engineering; Algorithm design and analysis; Control engineering; Image edge detection; Infrared detectors; Infrared imaging; Missiles; Optical imaging; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.253848
  • Filename
    4021675