• DocumentCode
    2045579
  • Title

    Initial contour independent level set image segmentation method using synergetic vector flow fields

  • Author

    Chunhapongpipat, K. ; Boonklurb, R. ; Sirisup, Sirod ; Lipikorn, Rajalida

  • Author_Institution
    Dept. of Math. & Comput. Sci., Chulalongkorn Univ., Bangkok, Thailand
  • fYear
    2012
  • fDate
    12-14 Dec. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The incorrect shape and location of initial contour in the level set image segmentation method could lead to unreliable results but the proper initial contour is hard to design in some images. This paper proposes a method that is more independent using four vector flows instead of using edge detector to insert new contour. The geodesic active contour (GAC) is used to compared with the proposed method on several types of gray-scale images. The experimental results show that the proposed method is more independent from shape and location of initial contour and can cover more details comparing with GAC.
  • Keywords
    edge detection; image segmentation; GAC; edge detector; geodesic active contour; gray-scale images; initial contour independent level set image segmentation method; synergetic vector flow fields; Edge detection; Level Set (LS) method; Partial Differential Equations (PDEs); image segmentation; multi-scale gradient vector flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communication Systems (ICSPCS), 2012 6th International Conference on
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4673-2392-5
  • Electronic_ISBN
    978-1-4673-2391-8
  • Type

    conf

  • DOI
    10.1109/ICSPCS.2012.6507987
  • Filename
    6507987