• DocumentCode
    3224129
  • Title

    A New Image Fusion Algorithm Based on Fuzzy Logic

  • Author

    Zhu Mengyu ; Yang Yuliang

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    83
  • Lastpage
    86
  • Abstract
    An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. Aiming at the visible and infrared image fusion, we analyze the pixel-level image fusion algorithms, and addresses an algorithm based on the discrete wavelet transform and fuzzy logic. We created two fuzzy relations, and estimated the importance of every wavelet coefficient with fuzzy reasoning. According to the importance of coefficients, the weighting average coefficients were calculated. Ultimately, we reconstructed the fused image through inverse wavelet transform. In the experimental section, we verified the effectiveness of the algorithm with two actual image data acquired from the field experiments.
  • Keywords
    fuzzy logic; fuzzy reasoning; image fusion; wavelet transforms; fuzzy Logic; fuzzy reasoning; image data; inverse wavelet transform; pixel-level image fusion algorithms; wavelet coefficient; Algorithm design and analysis; Discrete wavelet transforms; Fuzzy logic; Fuzzy reasoning; Image analysis; Image fusion; Infrared imaging; Pixel; Wavelet analysis; Wavelet coefficients; Fuzzy; image fusion; infrared; visible; wavelet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.336
  • Filename
    4659727