• DocumentCode
    2782211
  • Title

    Approach of medicial image fusion based on multiwavelet transform

  • Author

    Tongzhou, Zhao ; Yanli, Wang ; Haihui, Wang ; Hongxian, Song ; Shen, Gao

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Wuhan Inst. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    3411
  • Lastpage
    3416
  • Abstract
    The purpose of image fusion is to merge information from multi-sensor and to improve abilities of information analysis and feature extraction. In this paper, a new image fusion algorithm based on multiwavelet transform to fuse multimedical images is presented. The detailed discussions are focused on the two-wavelet and two-scaling function multiwavelets. In the fusion algorithm, a feature-based fusion rule is used to combine original subimages and to form a pyramid for the fused image. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. Experiment of fusing medical CTMRI images is presented in this paper. Comparing with other image fusion methods, satisfactory result has been obtained by applying this method on both objective and subjective performance measure.
  • Keywords
    image fusion; wavelet transforms; feature extraction; feature-based fusion rule; information analysis; medical image fusion; multimedical images; multisensors; multiwavelet transform; two-scaling function multiwavelets; two-wavelet function multiwavelets; Biomedical imaging; Feature extraction; Fuses; Humans; Image fusion; Image processing; Image sensors; Information analysis; Laplace equations; Wavelet transforms; Feature selection; Image fusion; Medical images; Multiwavelet transform; Mutual information;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191886
  • Filename
    5191886