• DocumentCode
    3447497
  • Title

    The Application of the MIC and Improved Snake Algorithm on the Image Segmentation

  • Author

    Tang, Liqun ; Wang, Kejun ; Li, Yonghua ; Ning, Hui ; Yuan, Yongbin ; Guo, Qingchang

  • Author_Institution
    Harbin Eng. Univ., Harbin
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    1898
  • Lastpage
    1902
  • Abstract
    In this paper a new image segmentation algorithm based on the MIC operator and improved snake model is proposed. The traditional snake model only applies the features of the curve, which did not adequately apply the feature of the image. The traditional snake model highly depended on the initialized position of the curve and can not get well fitted effort for the image which has the corners and concaves. The proposed algorithm preferably solves the drawbacks. It is proved by experiment that preferable image segmentation result is gotten based on the algorithm.
  • Keywords
    curve fitting; edge detection; feature extraction; image segmentation; mathematical operators; MIC operator; corner detection; curve fitting; edge fitting; image feature; image segmentation algorithm; improved snake algorithm; Image segmentation; Industrial electronics; Microwave integrated circuits; Corner detection; Image segmentation; edge fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318740
  • Filename
    4318740