• DocumentCode
    1588129
  • Title

    A new image registration algorithm based maximum mutual information

  • Author

    Yaoguang Wei ; Jianqing Wang ; Daoliang Li ; Xuyan Tu

  • Author_Institution
    Coll. of Inf. & Electr. Eng., China Agric. Univ., Beijing, China
  • fYear
    2010
  • Firstpage
    407
  • Lastpage
    411
  • Abstract
    A new image registration algorithm which based on immune optimal algorithm had been proposed in this paper. The mutual information was chosen to direct the registration process. Because that the mutual information was maximum when the original images were strictly alignment, so the registration process could be turned to the problem how to find the optimal geometric transformation parameters of yaw angle and coordinate offset between the original images. The immune optimal algorithm was adopted to calculate the optimal yaw angle and coordinate offset. It took the mutual information as the affinity function of the immune optimal algorithm, the yaw angle and coordinate offset were taken as antibodies of the algorithm. The mutual information reached to maximum when it obtained the optimal geometric transformation parameters. The image registration results had shown that the algorithm could easily to stable and convergence. It could solve the image registration problem perfectly.
  • Keywords
    image registration; affinity function; coordinate offset; image registration algorithm; immune optimal algorithm; maximum mutual information; optimal geometric transformation parameters; yaw angle; Agriculture; Cloning; Convergence; Image registration; Immune system; Joints; Mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665371