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

Summary

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.

Product details

• Authors: Gerhard Winkler
• Publisher: Springer
• Languages: English
• Product format: Paperback / Softback
• Released: 22.09.2012
• EAN: 9783642629112
• ISBN: 978-3-642-62911-2
• No. of pages: 404
• Dimensions: 155 mm x 235 mm x 22 mm
• Weight: 610 g
• Series: Stochastic Modelling and Applied Probability
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Stochastik, C, Statistics, Radiology, Bildgebende Verfahren, Maschinelles Sehen, Bildverstehen, Computermodellierung und -simulation, Numerische Mathematik, Computer Vision, Image Processing and Computer Vision, Mathematics and Statistics, Probability Theory and Stochastic Processes, Imaging / Radiology, Probability & statistics, Numerical analysis, Probabilities, Stochastics, Probability Theory, Optical data processing, Medical imaging, Computer simulation, Computer modelling & simulation, Simulation and Modeling, Image processing, Computer Modelling