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
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;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1986.1676732