• DocumentCode
    2314918
  • Title

    An image registration algorithm using a particle filters

  • Author

    Kasetkasem, T. ; Homsup, N. ; Meetit, D.

  • Author_Institution
    Electr. Eng. Dept., Kasetsart Univ., Bangkok
  • fYear
    2009
  • fDate
    6-9 May 2009
  • Firstpage
    1120
  • Lastpage
    1123
  • Abstract
    The image registration is the process to overlay two or more images taking at different times. The image registration is a very important step in medical imaging as well as in remote sensing to quantify changes occurring over times. Most image registration algorithms measures the distances between two images and try to find the transformation that these distance is minimum. However, the distance function is usually multimodal and non-convex. Hence, the gradient-based algorithms usually stuck in one of the local optima. As a result, we propose the use of the particle filtering algorithm to search for the global optima.
  • Keywords
    gradient methods; image registration; particle filtering (numerical methods); search problems; global optima search; gradient-based algorithm; image registration algorithm; local optima search; medical imaging; multimodal distance function; nonconvex distance function; particle filtering algorithm; remote sensing; Biological cells; Biomedical engineering; Biomedical imaging; Convergence; Genetic algorithms; Image registration; Layout; Particle filters; Remote sensing; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2009. ECTI-CON 2009. 6th International Conference on
  • Conference_Location
    Pattaya, Chonburi
  • Print_ISBN
    978-1-4244-3387-2
  • Electronic_ISBN
    978-1-4244-3388-9
  • Type

    conf

  • DOI
    10.1109/ECTICON.2009.5137241
  • Filename
    5137241