Overview
""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
Full Product Details
Author: Gerhard Winkler
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: Second Edition 2003
Volume: 27
Dimensions:
Width: 15.50cm
, Height: 2.30cm
, Length: 23.50cm
Weight: 0.807kg
ISBN: 9783540442134
ISBN 10: 3540442138
Pages: 387
Publication Date: 26 November 2002
Audience:
College/higher education
,
Professional and scholarly
,
Undergraduate
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: Awaiting stock
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.
Reviews
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 fur Mathematik, Vol. 146 (4), 2005)
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 fur Mathematik, Vol. 146 (4), 2005)
