• DocumentCode
    1901054
  • Title

    Automated Seamline Detection in Orthophoto Mosaicking Using Improved Snakes

  • Author

    Wang, Lin ; Ai, Haibin ; Zhang, Li

  • Author_Institution
    Inst. of Photogrammetry & Remote Sensing, Chinese Acad. of Surveying & Mappping, Beijing, China
  • fYear
    2010
  • fDate
    25-26 Dec. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    When mosaicking two adjacent orthophotos, the transition from one orthophoto to the other is cannot be seen. The requirements of such an optimal seamline include high color similarity and high texture similarity. In this paper, a novel method integrated snakes and bresenham is presented. The calculation of photometric energy in the snake model considers not only the discrete points, but all the points that the snake passes which found by bresenham. This solves the local optimum problem existed in the snake model to some extent. In a hierarchical strategy, a proper seamline is delineated fully automatically. The experiments carried out in this paper show the promising potential of this schema.
  • Keywords
    image colour analysis; image segmentation; image texture; object detection; automated seamline detection; color similarity; improved snakes; orthophoto mosaicking; texture similarity; Algorithm design and analysis; Buildings; Greedy algorithms; Heuristic algorithms; Image color analysis; Pixel; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
  • Conference_Location
    Wuhan
  • ISSN
    2156-7379
  • Print_ISBN
    978-1-4244-7939-9
  • Electronic_ISBN
    2156-7379
  • Type

    conf

  • DOI
    10.1109/ICIECS.2010.5678345
  • Filename
    5678345