IMAGE INTERPRETATION USING BAYESIAN NETWORKS

Authors
KUMAR VP DESAI UB
Citation
Vp. Kumar et Ub. Desai, IMAGE INTERPRETATION USING BAYESIAN NETWORKS, IEEE transactions on pattern analysis and machine intelligence, 18(1), 1996, pp. 74-77
Citations number
12
Categorie Soggetti
Computer Sciences","Computer Science Artificial Intelligence","Engineering, Eletrical & Electronic
Journal title
IEEE transactions on pattern analysis and machine intelligence → ACNP
ISSN journal
01628828
Volume
18
Issue
1
Year of publication
1996
Pages
74 - 77
Database
ISI
SICI code
0162-8828(1996)18:1<74:IIUBN>2.0.ZU;2-7
Abstract
The problem of image interpretation is one of inference with the help of domain knowledge. In this correspondence, we formulate the problem as the maximum a posteriori (MAP) estimate of a properly defined proba bility distribution function. We show that a Bayesian network can be u sed to represent this p.d.f. as well as the domain knowledge needed fo r interpretation. The Bayesian network may be relaxed to obtain the se t of optimum interpretations.