• DocumentCode
    3017738
  • Title

    Detecting color edges in the visible human dataset

  • Author

    Ilovici, I.

  • Author_Institution
    Lally Sch. of Manage., Rensselaer Polytech. Inst., Troy, NY
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    254
  • Lastpage
    258
  • Abstract
    The objective of this research is to provide a new model of color imagery which is metrically consistent and differentiable. The differential-geometric approach of the model is: coordinate consistent, metrically consistent and differentiable. None of the variety of color edge detection algorithms in the literature address the differential geometric aspect proposed in the paper
  • Keywords
    differential geometry; edge detection; image colour analysis; medical image processing; visual databases; color edge detection; coordinate consistent; differential geometry; medical image processing; metrically consistent; visible human dataset; Calculus; Color; Digital images; Geometry; Gray-scale; Humans; Image edge detection; Jacobian matrices; Physics; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 1999. Proceedings. 12th IEEE Symposium on
  • Conference_Location
    Stamford, CT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-0234-2
  • Type

    conf

  • DOI
    10.1109/CBMS.1999.781283
  • Filename
    781283