| Image Analysis, Random Fields and Markov Chain Monte Carlo Methods: A Mathematical Introduction Contributor(s): Winkler, Gerhard (Author) |
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ISBN: 3540442138 ISBN-13: 9783540442134 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: November 2002 Annotation: This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from mathematics, statistics, physics, engineering, and computer science, it will serve as an introduction to the mathematical aspects rather than a survey. Basically no prior knowledge of mathematics or statistics is required. The second edition is in many parts completely rewritten and improved, and most figures are new. The topics of exact sampling and global optimization of likelihood functions have been added. This second edition comes with a CD-ROM by F. Friedrich, containing a host of (live) illustrations for each chapter. In an interactive environment, readers can perform their own experiments to consolidate the subject. |
| Additional Information |
| BISAC Categories: - Computers | Computer Vision & Pattern Recognition - Computers | Software Development & Engineering - General - Mathematics | Probability & Statistics - General |
| Dewey: 003.3 |
| LCCN: 2002190825 |
| Series: Stochastic Modelling and Applied Probability |
| Physical Information: 1.1" H x 6.44" W x 9.4" (1.70 lbs) 387 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: "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 |