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Representation of Uncertainty in Computer Vision Using Fuzzy Sets
February 1986 (vol. 35 no. 2)
pp. 145-156
T.L. Huntsberger, Intelligent Systems Laboratory, Department of Computer Science, University of South Carolina
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.
Index Terms:
shape representation, Computer vision, edge detection, fuzzy clustering, segmentation
Citation:
T.L. Huntsberger, C. Rangarajan, S.N. Jayaramamurthy, "Representation of Uncertainty in Computer Vision Using Fuzzy Sets," IEEE Transactions on Computers, vol. 35, no. 2, pp. 145-156, Feb. 1986, doi:10.1109/TC.1986.1676732
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