• DocumentCode
    1153235
  • Title

    Representation of Uncertainty in Computer Vision Using Fuzzy Sets

  • Author

    Huntsberger, Terrance L. ; Rangarajan, Chandraleka ; Jayaramamurthy, Sadali N.

  • Author_Institution
    Intelligent Systems Laboratory, Department of Computer Science, University of South Carolina
  • Issue
    2
  • fYear
    1986
  • Firstpage
    145
  • Lastpage
    156
  • Abstract
    Uncertainty in computer vision can arise at various levels. It can occur in the low level in the raw sensor input, and extends all the way through intermediate and higher levels. Ideally, at any level where decisions are being made on the basis of previous processing steps, a computer vision system must have sufficient flexibility for representation of uncertainty in any of these levels.
  • Keywords
    Computer vision; edge detection; fuzzy clustering; segmentation; shape representation; Computer vision; Decision making; Expert systems; Fuzzy set theory; Fuzzy sets; Image edge detection; Image segmentation; Layout; Shape; Uncertainty; Computer vision; edge detection; fuzzy clustering; segmentation; shape representation;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1986.1676732
  • Filename
    1676732