• DocumentCode
    1694701
  • Title

    Image enhancement using multiscale oriented wavelets

  • Author

    Yu-Ping Wang ; Wu, Qiang ; Castleman, Ken ; Xiong, Zixiang

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    610
  • Abstract
    We describe a novel method of enhancing image geometric features using the oriented wavelets introduced in our earlier work (see Yu-Ping Wang, IEEE Trans. Image Proc., vol.8, no.12, p.1757-71, 1999). The poor directional selectivity of the conventional 2D wavelet transform has been circumvented by using this class of oriented wavelets. By taking advantage of directional wavelet decomposition, both the directional and scale correlation information are utilized for enhancing salient structures in images. To remove phase dependence, a pair of quadrature filters are used. The proposed algorithm has been applied to chromosome image enhancement. Comparisons of this algorithm with other approaches are presented
  • Keywords
    cellular biophysics; channel bank filters; feature extraction; image enhancement; wavelet transforms; 2D wavelet transform; chromosome image enhancement; directional wavelet decomposition; fast filter bank; feature extraction; geometric features; multiscale oriented wavelets; quadrature filters; Cities and towns; Digital images; Filter bank; Image analysis; Image edge detection; Image enhancement; Laplace equations; Spline; Wavelet domain; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2001. Proceedings. 2001 International Conference on
  • Conference_Location
    Thessaloniki
  • Print_ISBN
    0-7803-6725-1
  • Type

    conf

  • DOI
    10.1109/ICIP.2001.959119
  • Filename
    959119