Image interpretation using Bayesian networks

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Image interpretation using Bayesian networks

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Title: Image interpretation using Bayesian networks
Author: KUMAR, VP; DESAI, UB
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
Date: 1996


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