Bayesian Approach to Image Interpretation

Name: Bayesian Approach to Image Interpretation
Brand: Springer
SKU: 9780792373728
Price: 3426 CZK
Availability: InStock

Autor: Sunil K. Kopparapu, Uday B. Desai

Jazyk:

Vazba: Pevná

Vydavatel: Springer

Dostupnost: Skladem u dodavatele

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3 426 Kč

Bayesian Approach to Image Interpretation will interest anyone working in image interpretation. It i...

Informace o knize

Autor

Sunil K. Kopparapu, Uday B. Desai

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2001

Stránek

127

EAN

9780792373728

ISBN

0792373723

Enbook ID

01397011

Vydavatel

Springer

Hmotnost

372

Rozměry

166 x 234 x 14

Kompletní popis

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.

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Bayesian Approach to Image Interpretation

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