• DocumentCode
    1742714
  • Title

    A nonlinear texture operator specialised in the analysis of dot-patterns

  • Author

    Kruizinga, P. ; Petkov, N.

  • Author_Institution
    Inst. of Math. & Comput. Sci., Groningen Univ., Netherlands
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    197
  • 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 dot-pattern selective cell operator. The comparison is made using a quantitative method based on the Mahalanobis distance. Together with some classification experiments the comparison shows a clear superiority of the new operator in dot-pattern texture problems
  • Keywords
    feature extraction; image texture; matrix algebra; pattern classification; Gabor energy; Mahalanobis distance; cooccurrence matrix; dot-pattern selective cell operator; dot-patterns analysis; nonlinear texture operator; quantitative method; Biology computing; Brain modeling; Cells (biology); Computational modeling; Detectors; Ear; Feature extraction; Filtering; Gaussian processes; Mathematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905302
  • Filename
    905302