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

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£87.21
Mixed media product 387 Pages / Published: 12/01/2006
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"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

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783540442134
Number of pages: 387
Weight: 807 g
Dimensions: 235 x 155 x 23 mm
Edition: 2nd ed. Corr. 3rd printing. 2006


MEDIA 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)

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