• DocumentCode
    3389210
  • Title

    Active contour based on different mathematic statistics

  • Author

    Chenda ; Yang, Mingqiang ; Quanxin, Zheng

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
  • fYear
    2011
  • fDate
    25-28 Sept. 2011
  • Firstpage
    806
  • Lastpage
    809
  • Abstract
    Traditional active contour models using global region information are often based on two constants which can approximate the image gray inside and outside the curves. Those constants can be considered as the one of the mathematic statistics data according to the corresponding region information of the image. In this paper, we propose a different energy which bases on two different types of mathematic statistics. We argue that when those two different types of mathematic statistics are equal, the energy will achieve its minimum. Experiments for synthetic and nature images get desirable results.
  • Keywords
    image segmentation; statistical analysis; active contour models; image gray; mathematic statistics; segmentation methods; Active contours; Computational modeling; Image edge detection; Image segmentation; Level set; Mathematical model; Active contour; image segmentation; level set functional; region information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2011 IEEE 13th International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-61284-306-3
  • Type

    conf

  • DOI
    10.1109/ICCT.2011.6157989
  • Filename
    6157989