Representation of Uncertainty in Computer Vision Using Fuzzy Sets

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...

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Bibliographic Details
Published in:IEEE transactions on computers 1986-02, Vol.C-35 (2), p.145-156
Main Authors: Huntsberger, Rangarajan, Jayaramamurthy
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Computer vision
edge detection
Exact sciences and technology
fuzzy clustering
Pattern recognition. Digital image processing. Computational geometry
segmentation
shape representation
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Summary: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.
ISSN:0018-9340
1557-9956
DOI:10.1109/TC.1986.1676732