• DocumentCode
    1590948
  • Title

    A New Image Registration Algorithm Based on Mutual Information of Gradient and Improved PSO

  • Author

    Laiming Xu ; Jun Liu

  • Author_Institution
    Coll. of Inf. Eng., Nanchang Hangkong Univ., Nanchang, China
  • fYear
    2012
  • Firstpage
    52
  • Lastpage
    55
  • Abstract
    Because of the larger difference between the two images to be registered, such as exposure degree or noise pollution, the common registration algorithm that based on mutual information of original gray, is easy to fall into local extreme value, thus the registration accuracy is unsatisfactory. In this case, a new method of image registration algorithm that based on mutual information of gradient and improved PSO is developed in this paper. The experiment result shows the method works well, and comparing with traditional registration algorithm, the registration accuracy is significantly improved while the efficiency is also guaranteed.
  • Keywords
    gradient methods; image registration; particle swarm optimisation; exposure degree; image registration algorithm; improved PSO; local extreme value; mutual gradient information; noise pollution; original gray; Accuracy; Biomedical imaging; Image registration; Mutual information; Noise; Optimization; Pollution measurement; image registration; mutual information of gradient; optimization algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.389
  • Filename
    6173145