Bayesian Approach to Image Interpretation
Sunil K. Kopparapu, Uday B. Desai
Writing for students and researchers in the field, Kopparapu (research and development for a private company in Bangalore, India) and Desai (electrical engineering, Indian Institute of Technology, Bombay) present a description and up-to-date treatment of image interpretation. The initial chapters describe the state of research, Markov random fields, their application to computer vision, the concept of cliques, and Bayesian network image interpretation. The authors then propose a new approach that applies synergism between the process of segmentation and interpretation in a multi-resolution framework and presents a joint segmentation and image interpretation algorithm.
Categories:
Year:
2001
Edition:
1
Publisher:
Kluwer Academic Publishers
Language:
english
Pages:
144
ISBN 10:
0792373723
ISBN 13:
9780792373728
Series:
The Kluwer international series in engineering and computer science SECS 616
File:
DJVU, 1.35 MB
IPFS:
,
english, 2001
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