• DocumentCode
    2762959
  • Title

    Grating cell operator features for oriented texture segmentation

  • Author

    Kruizinga, P. ; Petkov, N.

  • Author_Institution
    Math. Inst., Groningen Univ., Netherlands
  • Volume
    2
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    1010
  • Abstract
    The performance of two well-known texture operators (based on Gabor-energy and the cooccurrence matrix) is compared with the performance of a new, biologically motivated texture operator, the grating cell operator, previously proposed by the authors (1995, 1997). The comparison is made using a new quantitative method, based on the Fisher criterion (1923). The results show the clear superiority of the new operator in oriented texture problems
  • Keywords
    image segmentation; image texture; Fisher criterion; Gabor-energy; cooccurrence matrix; grating cell operator features; oriented texture segmentation; Animal structures; Bars; Ear; Feature extraction; Gratings; High performance computing; Mathematics; Maximum likelihood detection; Neurons; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711860
  • Filename
    711860