Bayesian Approach to Image Interpretation (The Springer International Series in Engineering and Computer Science #616)
by Sunil K. Kopparapu and Uday B. Desai
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For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial.
For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable.
New ideas introduced in the book include:
- New approach to image interpretation using synergism between the segmentation and the interpretation modules.
- A new segmentation algorithm based on multiresolution analysis.
- Novel use of the Bayesian networks (causal networks) for image interpretation.
- Emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework.
Details
- Publisher
- Springer US
- Authors
- Sunil K. Kopparapu, Uday B. Desai
- Format
- Paperback
- Published
- Mar 23, 2013
- ISBN-13
- 9781475774832
- Pages
- 127
- Printing
- Printed on demand
Bayesian Approach to Image Interpretation (The Springer International Series in Engineering and Computer Science #616) for groups: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $149.59 | 12% off list |
| 50 – 99 | $147.89 | 13% off list |
| 100+ | $146.19 | 14% off list |
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Bayesian Approach to Image Interpretation (The Springer International Series in Engineering and Computer Science #616)
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