• DocumentCode
    756740
  • Title

    Vector order statistics operators as color edge detectors

  • Author

    Trahanias, P.E. ; Venetsanopoulos, A.N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.
  • Volume
    26
  • Issue
    1
  • fYear
    1996
  • fDate
    2/1/1996 12:00:00 AM
  • Firstpage
    135
  • Lastpage
    143
  • Abstract
    Color edge detection is approached in this paper using vector order statistics. Based on the R-ordering method, a class of color edge detectors is defined. These detectors function as vector operators as opposed to component-wise operators. Specific edge detectors can be obtained as special cases of this class. Various such detectors are defined and analyzed. Experimental results show the noise robustness of the vector order statistics operators. A quantitative evaluation and comparison to other color edge detectors favors our approach. Edge detection results obtained from real color images demonstrate the effectiveness of the proposed approach in real applications
  • Keywords
    edge detection; statistical analysis; R-ordering method; color edge detectors; color images; edge detectors; noise robustness; quantitative evaluation; vector order statistics; Color; Colored noise; Computer science; Detectors; Image edge detection; Lighting; Noise robustness; Reflectivity; Space technology; Statistics;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/3477.484445
  • Filename
    484445