• DocumentCode
    551497
  • Title

    Study on the fast image registration based on genetic algorithm

  • Author

    Feng, Shuai ; Li, Yufeng ; Zhao, Weiping

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Shenyang Aerosp. Univ., Shenyang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    4-7 Aug. 2011
  • Firstpage
    213
  • Lastpage
    216
  • Abstract
    The paper based on the wavelet transform to extract image edge and the necessary high-frequency information. Use a stable circular grid to identify and extract the features of the target image and the image to be matched. Use the simple Variance operation as the target function and combine with the genetic algorithm to optimize the target function. The results show that comparing with the other similar methods, the method in this article still can get the satisfactory results with less computation and the situation of the small scale deformation and angle of rotation of image appearing.
  • Keywords
    edge detection; genetic algorithms; image registration; wavelet transforms; edge extraction; fast image registration; genetic algorithm; stable circular grid; variance operation; wavelet transform; Feature extraction; Genetic algorithms; Genetics; Image registration; Optimization; Wavelet transforms; Genetic Algorithm; image registration; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Uncertainty Reasoning and Knowledge Engineering (URKE), 2011 International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-9985-4
  • Electronic_ISBN
    978-1-4244-9984-7
  • Type

    conf

  • DOI
    10.1109/URKE.2011.6007800
  • Filename
    6007800