Bayesian Approach to Image Interpretation
Language: English
Published by Springer, 2001
Series: Book 57 of 260 - The Springer International Series in Engineering and Computer Science
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 260.10
Quantity: 1 available
Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Bayesian Approach to Image Interpretation will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas. 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. Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.…
Seller Inventory # 9780792373728
- Title
- Bayesian Approach to Image Interpretation
- Author
- Uday B. Desai
- Publisher
- Springer
- Publication year
- 2001
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 0792373723
- ISBN 13
- 9780792373728
- Item weight
- 343 grams
- Dimensions
- 241x160x13 mm
- Series
- Book 57 of 260: The Springer International Series in Engineering and Computer Science
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.
"Synopsis" may belong to another edition of this title.
Shipping rates from Germany to U.S.A.
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