Modeling and inverse problems in imaging analysis

Bibliographic Information

Modeling and inverse problems in imaging analysis

Bernard Chalmond

(Applied mathematical sciences, v. 155)

Springer, c2003

  • : softcover

Other Title

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

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