• DocumentCode
    2835021
  • Title

    Image Segmentation based on Improved Gradient Vector Flow

  • Author

    Zhang, Hong ; Feng, Lingzhi ; Mu, Ying ; You, Yuhu

  • Author_Institution
    Image Process. Center, Beihang Univ., Beijing
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    765
  • Lastpage
    769
  • Abstract
    This paper presents a novel gradient vector flow calculation method and introduces the center position of initial contour line to segment target exactly. The method utilizes the center position of initial contour line and image features to calculate external energy; the contour line can search for and estimate the real edge no matter where the center position of initial contour line is. Experimental results show the method proposed can weaken influence from the center position of initial contour line, enhance the stability of iterative process and exactly segment interested target.
  • Keywords
    edge detection; gradient methods; image segmentation; contour line; edge estimation; gradient vector flow; image segmentation; iterative process; Active contours; Active noise reduction; Image edge detection; Image processing; Image segmentation; Noise figure; Solid modeling; Stability; Surface fitting; Working environment noise; active contour model; gradient vector flow; image segmentation; implicit method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.177
  • Filename
    4624971