• DocumentCode
    2164463
  • Title

    Anti-rotation image matching algorithms based on hybrid genetic algorithm

  • Author

    Fu-cheng, You ; Mao-yi, Ye

  • Author_Institution
    Beijing Institute of Graphic Communication, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    4366
  • Lastpage
    4369
  • Abstract
    Algorithm for rotated image matching was slow, inefficient and standard genetic algorithm (SGA) in image matching was not high in accuracy, this article introduce a fast anti-rotation image matching algorithm based on hybrid genetic algorithm. The algorithm combines GA and hill-climbing algorithm in an efficient way and performs fast both in global search and local search. The algorithm use circular and ring template instead of rectangle template, and use the histogram of the template to calculate the fitness of the individual in the hybrid genetic algorithm. The speed and accuracy of the Algorithm was proved by the experiment.
  • Keywords
    Accuracy; Algorithm design and analysis; Gallium; Graphics; Image matching; Software; Sun; circular and ring template; component hybrid genetic algorithm; hill-climbing algorithm; template matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691885
  • Filename
    5691885