Free Delivery Over $100
|
|
|||
|
||||
OverviewMore 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. Full Product DetailsAuthor: Bernard Chalmond , Kari A. FosterPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: Softcover reprint of the original 1st ed. 2003 Volume: 155 Dimensions: Width: 15.50cm , Height: 1.80cm , Length: 23.50cm Weight: 0.522kg ISBN: 9781441930491ISBN 10: 1441930493 Pages: 314 Publication Date: 12 December 2011 Audience: Professional and scholarly , Professional and scholarly , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: Out of stock  The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of Contents1 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.ReviewsFrom the reviews: ...This book is an excellent introduction to Bayesian imaging and spline models in image analysis. It can be used for courses aimed at both mathematical statisticians who want to learn more about applications to imaging and engineers who aim to incorporate adequate mathematical formalism into their research. -- MATHEMATICAL REVIEWS The introduction of this book clearly explains - at a level any undergraduate student in mathematics can understand - the basic concepts of image analysis. The examples throughout the book are well-explained and rich. The different types of modeling are also explained ... . this book can be advised to students or beginning researchers who want to have a good overview with an easy, self-contained introduction to the field of Image Analysis. (Peter Leoni, Physicalia, Vol. 28 (4-6), 2006) From the reviews: ...This book is an excellent introduction to Bayesian imaging and spline models in image analysis. It can be used for courses aimed at both mathematical statisticians who want to learn more about applications to imaging and engineers who aim to incorporate adequate mathematical formalism into their research. -- MATHEMATICAL REVIEWS The introduction of this book clearly explains -- at a level any undergraduate student in mathematics can understand -- the basic concepts of image analysis. The examples throughout the book are well-explained and rich. The different types of modeling are also explained ! . this book can be advised to students or beginning researchers who want to have a good overview with an easy, self-contained introduction to the field of Image Analysis. (Peter Leoni, Physicalia, Vol. 28 (4-6), 2006) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
||||
