Articles liés à Modeling and Inverse Problems in Image Analysis

Modeling and Inverse Problems in Image Analysis - Couverture rigide

Livre 28 sur 94: Applied Mathematical Sciences

Chalmond, Bernard

 
9780387955476: Modeling and Inverse Problems in Image Analysis
Couverture rigide
ISBN 10 : 038795547X ISBN 13 : 9780387955476
Editeur : Springer-Verlag New York Inc., 2003

Synopsis

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.

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À propos de la quatrième de couverture

More mathematics 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 theory behind the applications that are presented 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 applications come from industrial projects in which the author was involved in robot vision and radiography: tracking 3-D lines, radiographic image processing, 3-D reconstruction and tomography, matching and 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 mathematics, physics, computer science, and engineering.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer-Verlag New York Inc.
Date d'édition
2003
Langue
anglais
ISBN 10 
038795547X
ISBN 13 
9780387955476
Reliure
Relié
Nombre de pages
309
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