Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/xmlui/handle/10054/8145
Title: Image interpretation using Bayesian networks
Authors: KUMAR, VP
DESAI, UB
Issue Date: 1996
Publisher: IEEE COMPUTER SOC
Citation: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 18(1), 74-77
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 probability distribution function. We show that a Bayesian network can be used to represent this p.d.f. as well as the domain knowledge needed for interpretation. The Bayesian network may be relaxed to obtain the set of optimum interpretations.
URI: http://dx.doi.org/10.1109/34.476423
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8145
http://hdl.handle.net/10054/8145
ISSN: 0162-8828
Appears in Collections:Article

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