• DocumentCode
    3442619
  • Title

    A region segmentation and region labeling algorithm in aerial images about bridge over water

  • Author

    Dong, Yinwen ; Yuan, Bingcheng ; Shi, Zhaoming ; An, Jingxin ; Zhu, Minglei

  • Author_Institution
    College of Electronic Engineering, Naval University of Engineering, Wuhan, China
  • fYear
    2012
  • fDate
    16-18 Oct. 2012
  • Firstpage
    630
  • Lastpage
    633
  • Abstract
    Aiming at region segmentation and region labeling for bridge recognition in aerial images, a region segmentation algorithm based on gradient mean square variance is proposed. The noises are removed by using binary pixel density method in water area segmentation. And a new region labeling for connective area algorithm based on pixel in binary image is put forward. 6 neighborhood connection rule is used to label connective areas in the binary image, and connective areas are all labeled by only one scan. Experiments show it is effective for water region segmentation and labeling and can be applied in bridge recognition automatically.
  • Keywords
    bridge recognition; mean square variance; pixel density; region labeling; region segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2012 5th International Congress on
  • Conference_Location
    Chongqing, Sichuan, China
  • Print_ISBN
    978-1-4673-0965-3
  • Type

    conf

  • DOI
    10.1109/CISP.2012.6469670
  • Filename
    6469670