• DocumentCode
    3205173
  • Title

    Geometric image primitives by complex moments in Gabor space and the application to texture segmentation

  • Author

    Bigün, Josef ; Du Buf, J. M Hans

  • Author_Institution
    Signal Processing Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    648
  • Lastpage
    650
  • Abstract
    An approach to image feature extraction is proposed. Complex moments of the Gabor power spectrum are used to detect linear, rectangular, hexagonal/triangular, and other structures with very fine to very coarse resolutions. When the method is applied to texture segmentation, good results are obtained
  • Keywords
    image recognition; pattern recognition; Gabor power spectrum; Gabor space; complex moments; geometric image primitives; image feature extraction; texture segmentation; Fitting; Image segmentation; Laboratories; Shape; Signal processing; Signal resolution; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223118
  • Filename
    223118
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3205173