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Bayesian Approach to Image Interpretation
Kopparapu, Sunil K.; Desai, Uday B.
€ 188.68
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Description for Bayesian Approach to Image Interpretation
Hardback. Reviews probabilistic methods for image interpretation and presents the results. This book emphasizes on making the interpretation approach less dependent on the knowledge base and more reliable by modeling the knowledge base in a probabilistic framework. It is intended as a textbook for a semester course in computer vision or pattern recognition. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 127 pages, biography. BIC Classification: UYQV; UYT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 166 x 14. Weight in Grams: 372.
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.
... Read more
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.
... Read more
Product Details
Format
Hardback
Publication date
2001
Publisher
Kluwer Academic Publishers United States
Number of pages
127
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
127
Place of Publication
Dordrecht, Netherlands
ISBN
9780792373728
SKU
V9780792373728
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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