Modeling and inverse problems in imaging analysis
Author(s)
Bibliographic Information
Modeling and inverse problems in imaging analysis
（Applied mathematical sciences, v. 155）
Springer, c2003
- : softcover
- Other Title
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Modeling and inverse problems in image analysis
Eléments de modélisation pour l'analyse d'images
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Note
"Softcover reprint of the hardcover 1st edition 2003"--T.p. verso of softcover
Includes bibliographical references (p. [289]-299) and indexes
Description and Table of Contents
Description
More mathematicians have been taking part in the development of digital image processing as a science and the contributions are reflected in the increasingly important role modeling has played solving complex problems. This book is mostly concerned with energy-based models. Most of these models come from industrial projects in which the author was involved in robot vision and radiography: tracking 3D lines, radiographic image processing, 3D reconstruction and tomography, matching, deformation learning. Numerous graphical illustrations accompany the text.
Table of Contents
Acknowledgments*List of Figures*Notation and Symbols*Introduction * I Spline Models*Non-parametric spline models * Parametric spline models * Auto-Associative Models * II Markov Models*Fundamental Aspects * Bayesian estimation * Simulation and optimization * Parameter Estimation *III Modeling in Action* Model-building * Degradation in Imaging * Detection of filamentary Entities * Reconstruction and Projections * Matching * References
by "Nielsen BookData"