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
Link To Document