• DocumentCode
    1917671
  • Title

    Bi-variate pattern spectrum

  • Author

    Ghosh, Pinaki ; Chanda, Bhabotosh

  • Author_Institution
    Dept. of Math., Jadavpur Univ., Calcutta, India
  • fYear
    1998
  • fDate
    20-23 Oct 1998
  • Firstpage
    476
  • Lastpage
    483
  • Abstract
    Bivariate pattern spectrum is the generalization of the concept of usual pattern spectrum. The usual pattern spectrum is the mapping from multidimensional set to 1D vector, whereas bivariate pattern spectrum is the mapping of multidimensional set to 2D vector. The introduction of bivariate pattern spectrum, based upon the geometrical concepts, has the notion to develop a shape-size descriptor, in the true sense. For defining bivariate pattern spectrum we introduce the concept of parametric and conditional parametric morphological operators. The usual binary morphological operators are the special case of parametric morphological operators
  • Keywords
    fuzzy set theory; image processing; mathematical morphology; 1D vector; bi-variate pattern spectrum; multidimensional set; parametric morphological operators; pattern spectrum; shape-size descriptor; Airports; Fuzzy sets; Gray-scale; Mathematics; Measurement techniques; Morphological operations; Multidimensional systems; Pattern recognition; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Image Processing, and Vision, 1998. Proceedings. SIBGRAPI '98. International Symposium on
  • Conference_Location
    Rio de Janeiro
  • Print_ISBN
    0-8186-9215-4
  • Type

    conf

  • DOI
    10.1109/SIBGRA.1998.722795
  • Filename
    722795