• DocumentCode
    2023839
  • Title

    Image sequence segmentation based on the formal lattice Boltzmann equation and its lower order approximation

  • Author

    Ding, Guang-Tai ; Luo, Dan-Xia ; Li, Shu-Qing

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2010
  • fDate
    23-25 Nov. 2010
  • Firstpage
    815
  • Lastpage
    820
  • Abstract
    The image sequence segmentation based on the optical flow is discussed in this paper. The lattice Boltzmann method, which is used in computational fluid dynamics theory for the simulation of fluid dynamics, is involved to set up the formal lattice Boltzmann equation of the optical flow of the image sequence. Several different types of approximations to the formal lattice Boltzmann equation are presented to modify the optical flow constraints. Evaluating the velocity of the optical flow, the edge detection problem can be solved in a way of an approximation method. The experimental results show that the estimating algorithm works well, and the method based on the formal lattice Boltzmann equation of the optical flow is effective for the image sequence segmentation.
  • Keywords
    Boltzmann equation; approximation theory; computational fluid dynamics; image segmentation; image sequences; computational fluid dynamics; formal lattice Boltzmann equation; image sequence segmentation; lower order approximation; optical flow; Approximation methods; Equations; Image segmentation; Image sequences; Lattice Boltzmann methods; Mathematical model; Optical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio Language and Image Processing (ICALIP), 2010 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-5856-1
  • Type

    conf

  • DOI
    10.1109/ICALIP.2010.5685119
  • Filename
    5685119