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 :
بازگشت