• DocumentCode
    1639568
  • Title

    Texture segmentation with tree-structured wavelet transform

  • Author

    Chang, Tianhorng ; Kuo, C. C Jay

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1992
  • Firstpage
    543
  • Lastpage
    546
  • Abstract
    A tree-structured wavelet transform has previously been developed and used for texture classification by the authors. The transform is able to zoom into dominant frequency channels containing significant texture information for further wavelet decomposition, and can be interpreted as the decomposition of a 2-D function with the wavelet packet basis function. The texture segmentation problem is addressed here. A texture segmentation algorithm based on the tree-structured wavelet transform and a hierarchical fuzzy clustering technique is proposed. Numerical experimental results are given
  • Keywords
    filtering and prediction theory; image segmentation; image texture; tree data structures; wavelet transforms; hierarchical fuzzy clustering technique; image processing; texture segmentation; tree-structured wavelet transform; wavelet packet basis function; Classification tree analysis; Clustering algorithms; Filter bank; Frequency; Gabor filters; Image segmentation; Signal resolution; Spatial resolution; Wavelet packets; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-0805-0
  • Type

    conf

  • DOI
    10.1109/TFTSA.1992.274121
  • Filename
    274121