• DocumentCode
    1928504
  • Title

    Pixel-Level image Fusion Based on Fuzzy Theory

  • Author

    Liu, Gang ; Lu, Xue-qin

  • Author_Institution
    Shanghai Univ. of Electr. Power, Shanghai
  • Volume
    3
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    1510
  • Lastpage
    1514
  • Abstract
    A new region based image fusion scheme is proposed. It is based on multiscale analysis. The low frequency band of the image multiscale representation is segmented into three kinds of regions by K-mean algorithm, which is used to determine the fusion rule and to achieve the multiscale representation of fusion result. The final image fusion result can be obtained by performing the inverse multiscale transform. The experiment demonstrates that the proposed image fusion method can illustrate better performance than exiting image fusion method.
  • Keywords
    fuzzy set theory; image fusion; image representation; image segmentation; transforms; fuzzy set theory; image multiscale representation; image segmentation; inverse multiscale transform; pixel-level image fusion; Cybernetics; Discrete wavelet transforms; Equations; Filters; Frequency; Image fusion; Image segmentation; Machine learning; Pixel; Signal processing algorithms; Fuzzy theory; Image fusion; Information fusion; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370384
  • Filename
    4370384