Image Analysis, Random Fields and Markov Chain Monte Carlo Methods A Mathematical Introduction

Winkler, Gerhard

ISBN 10: 3540442138 / ISBN 13: 9783540442134

Editore: Springer, 2002

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A tight and clean copy. Brief bumps to the corners. Interior pages clean and unmarked. CD included in rear. Photos upon request. International shipping billed at cost.; Stochastic Modelling And Applied Probability, 27; Large 8vo 9" - 10" tall; 360 pages. Codice articolo 90220

Dati bibliografici

Titolo: Image Analysis, Random Fields and Markov ...

Casa editrice: Springer

Data di pubblicazione: 2002

Legatura: Hardcover

Condizione: Very Good

Condizione sovraccoperta: No Dust Jacket

Edizione: Second Edition.

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 doesn’t 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)