• DocumentCode
    3415429
  • Title

    A Medical Image Fusion Algorithm Based on Lifting Wavelet Transform

  • Author

    Xue-jun, Wang ; Ying, Mu

  • Author_Institution
    Inf. Sci. & Technol. Coll., Shi Jia Zhuang Tie Dao Univ., Shijiazhuang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    23-24 Oct. 2010
  • Firstpage
    474
  • Lastpage
    476
  • Abstract
    Image fusion is a technique that integrates the information of multiple images into one image, which makes the fused image more accurate, more comprehensive and reliable. In order to improve the traditional medical image fusion algorithms which often cause details loss, the source medical images are decomposed by way of lifting wavelet, and the high-low frequency weight are utilized according to different fusion rules. Finally the target image is obtained through inverse wavelet transform. The simulation result shows that the algorithm is feasible and effective.
  • Keywords
    discrete wavelet transforms; image fusion; medical image processing; high-low frequency weight; inverse wavelet transform; lifting wavelet transform; medical image fusion algorithm; Frequency measurement; Image fusion; Medical diagnostic imaging; Wavelet analysis; Wavelet transforms; high-low frequency weight; image fusion; lifting wavelet; medical image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-8432-4
  • Type

    conf

  • DOI
    10.1109/AICI.2010.337
  • Filename
    5656521