• DocumentCode
    1606608
  • Title

    An improved spectral clustering sonar image segmentation method

  • Author

    Liu, Guangyu ; Bian, Hongyu ; Ye, Xiufen ; Shi, Hong

  • Author_Institution
    Coll. of Underwater Acoust. Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • Firstpage
    474
  • Lastpage
    477
  • Abstract
    Image segmentation method based on the existing spectrum clustering algorithm cannot accurately segment sonar image because of the ambiguous object edge, extremely complex noisy background and critical shadow impact of sonar image, and aiming at this problem, this paper proposed an improved spectrum clustering sonar image segmentation method. First of all, to overcome negative impact of the sonar image shadow and achieve selective segmentation of sonar target, morphological top-hat transformation and bottom-hat transformation were used for sonar image preprocessing; Secondly, image segmentation based on spectrum clustering was done after preprocessing and an improved spectral clustering sonar image segmentation system was constructed; Finally, simulation experiment was taken and the results showed that the proposed method is more suitable for sonar image segmentation.
  • Keywords
    image segmentation; pattern clustering; sonar imaging; transforms; ambiguous object edge; complex noisy background; critical shadow effects; morphological bottom hat transformation; morphological top hat transformation; sonar image preprocessing; sonar image segmentation method; sonar target selective segmentation; spectrum clustering algorithm; Image segmentation; Lead; Microcomputers; Bottom-hat transformation; Sonar image segmentation; Spectral clustering; Top-hat transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering (CME), 2011 IEEE/ICME International Conference on
  • Conference_Location
    Harbin Heilongjiang
  • Print_ISBN
    978-1-4244-9323-4
  • Type

    conf

  • DOI
    10.1109/ICCME.2011.5876787
  • Filename
    5876787