Bayesian Approach to Image Interpretation

Name: Bayesian Approach to Image Interpretation
Brand: Springer
SKU: 9780792373728
Price: 57970 HUF
Availability: InStock

Szerző: Sunil K. Kopparapu, Uday B. Desai

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

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

Információk a könyvről

Szerző

Sunil K. Kopparapu, Uday B. Desai

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2001

oldal

127

EAN

9780792373728

ISBN

0792373723

Enbook ID

01397011

Kiadó

Springer

Súly

372

Méretek

166 x 234 x 14

Teljes leírás

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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