00000cmm a22000004a 4500 UP-99796217611212351 Buklod 20230215085534.0 m go j cr |nu|||auu|a 101231s2011 xxu u | eng d 9780387929200 (eBook) 0387929207 (eBook) (iLib)UPD-00215704113 DML eng DMLUC RC 78.7.D53 H36 2011eb Handbook of mathematical methods in imaging [electronic resource] edited by Otmar Scherzer. New York London Springer 2011. 1 online resource (xviii, 1,607 p.) Introduction -- Part 1: Inverse Problems -- Tomography -- MR DTI -- Hybrid Methods -- Nonlinear Inverse Problems -- EIT -- Scattering -- Sampling Methods -- Expansion Methods -- Regularization Methods for Ill-Posed Problems -- Iterative Solution Methods -- Wave Phenomena -- Seismic -- Radar -- Ultrasound -- Part 2: Signal and Image Processing -- Morphological Image Processing -- Learning, Classification, Data Mining -- Partial Differential Equations -- Variational Methods for Image Analysis -- Level Set Methods Including Fast Marching Methods -- Segmentation -- Registration, Optical Flow -- Duality and Convex Minimization -- Spline, Statistics -- Wavelets -- Fourier Analysis -- Compressed Sensing -- Geometry Processing -- Compression -- Computational Geometry -- Shape Spaces -- PDEs and Variational Methods on Manifold -- References -- Subject Index. IP-based subscription, access limited to within on-campus computer network. Access via Electronic Resources of the UPD University Library Website. The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through SpringerLink. Diagnostic imaging Mathematical models. Image processing Digital techniques Mathematical models. Imaging systems in medicine Mathematical models. Electronic books. Scherzer, Otmar 1964-. SpringerLink (Online service). Electronic Resource Available for University of the Philippines Diliman via SpringerLink. Click here to access http://link.springer.com/referencework/10.1007/978-0-387-92920-0 FO Monograph UPD DMLR Electronic Resource