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Representation of Uncertainty in Computer Vision Using Fuzzy Sets

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3 Author(s)
T. L. Huntsberger ; Intelligent Systems Laboratory, Department of Computer Science, University of South Carolina ; C. Rangarajan ; S. N. Jayaramamurthy

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.

Published in:

IEEE Transactions on Computers  (Volume:C-35 ,  Issue: 2 )