Modeling and Inverse Problems in Imaging Analysis

Bernard Chalmond (Autor)

Buch | Hardcover

314 Seiten

2003
Springer-Verlag New York Inc.
978-0-387-95547-6 (ISBN)

Artikel merken

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. Through concrete image analysis problems, the author develops consistent modeling, a know-how generally hidden in the proposed solutions. The book is divided into three main parts. The first two parts describe the materials necessary to the models expressed in the third part. These materials include splines (variational approach, regression spline, spline in high dimension), and random fields (Markovian field, parametric estimation, stochastic and deterministic optimization, continuous Gaussian field). 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 showing the performance of the proposed models. This book will be useful to researchers and graduate students in applied mathematics, computer vision, and physics.

1 Introduction.- 1.1 About Modeling.- 1.2 Structure of the Book.- I Spline Models.- 2 Nonparametric Spline Models.- 3 Parametric Spline Models.- 4 Auto-Associative Models.- II Markov Models.- 5 Fundamental Aspects.- 6 Bayesian Estimation.- 7 Simulation and Optimization.- 8 Parameter Estimation.- III Modeling in Action.- 9 Model-Building.- 10 Degradation in Imaging.- 11 Detection of Filamentary Entities.- 12 Reconstruction and Projections.- 13 Matching.- References.- Author Index.

Erscheint lt. Verlag	14.1.2003
Reihe/Serie	Applied Mathematical Sciences ; 155
Übersetzer	Kari A. Foster
Zusatzinfo	XXII, 314 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Grafik / Design ► Digitale Bildverarbeitung
	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Technik
ISBN-10	0-387-95547-X / 038795547X
ISBN-13	978-0-387-95547-6 / 9780387955476
Zustand	Neuware