Handbook of mathematical methods in imaging
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 t...
保存先:
| 第一著者: | |
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| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
New York, NY :
Springer New York : Springer e-books
[20..].
Cham : Springer Nature |
| 主題: | |
| オンライン･アクセス: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| 注記: |
Description d'après consultation du 20 avril 2012 Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Handbook of mathematical methods in imaging, Otmar Scherzer ed., 2011, New York, Springer, 3 vol. (XVIII-1607 p.), 978-0-387-92919-4 |
目次:
- 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