Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27)

Winkler, G.

ISBN 10: 3540442138 / ISBN 13: 9783540442134

Editore: Springer, 2003

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Volume 27. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,800grams, ISBN:9783540442134.

Codice articolo 8662702

Dati bibliografici

• Titolo: Applications of Mathematics: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Volume 27)
• Editore: Springer
• Data di pubblicazione: 2003
• Lingua: Inglese
• ISBN 10: 3540442138
• ISBN 13: 9783540442134
• Rilegatura: Rilegato
• Edizione: seconda edizione
• Condizione: Good
• Peso: 800 grammi
• Cataloghi dei venditori:
  • Mathematics

Descrizione articolo

Riassunto

"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used....This book will be useful, especially to researchers with a strong background in probability and an interest in image analysis. The author has presented the theory with rigor…he doesnt neglect applications, providing numerous examples of applications to illustrate the theory." -- MATHEMATICAL REVIEWS

Recensione

From the reviews of the second edition:

"This book is concerned with a probabilistic approach for image analysis, mostly from the Bayesian point of view, and the important Markov chain Monte Carlo methods commonly used in this approach. ... this book will be useful, especially to researchers with a strong background in probability and an interest in image analysis. The author has presented the theory with rigor ... . he doesn’t neglect applications, providing numerous examples of applications to illustrate the theory and an abundant bibliography pointing to more detailed related work." (Pham Dinh Tuan, Mathematical Reviews, Issue 2004 c)

"Based on the Baysian approach the author focuses on the principles of classical image analysis rather than on applications and implementations. Little mathematical knowledge is needed to read the book, thus it is well suited for lectures on image analysis." (Ch. Cenker, Monatshefte für Mathematik, Vol. 146 (4), 2005)