Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability, 27, Band 27) A Mathematical Introduction

Winkler, Gerhard:

ISBN 10: 3540442138 / ISBN 13: 9783540442134

Editore: Aachen, Springer, 2002

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403 S. Gebrauchtes Exemplar in sehr gutem Zustand. KEINE Eintragungen/Markierungen. - Wir versenden aus unserem deutschen Lager heraus in plastikfreien oder wiederverwendeten Polstertaschen. Sprache: Englisch Gewicht in Gramm: 807 Gebundene Ausgabe, Maße: 16.36 cm x 2.79 cm x 23.88 cm.

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Dati bibliografici

• Titolo: Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction (Stochastic Modelling and Applied Probability, 27, Band 27) A Mathematical Introduction
• Editore: Aachen, Springer
• Data di pubblicazione: 2002
• Lingua: Inglese
• ISBN 10: 3540442138
• ISBN 13: 9783540442134
• Rilegatura: Rilegato
• Edizione: 2nd ed. Corr. 3rd printing. 2006.
• Condizione: Sehr gut
• Peso: 807 grammi
• Cataloghi dei venditori:
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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)