Handbook of Mathematical Methods in Imaging
| 団体著者: | |
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| その他の著者: | |
| 要約: | XVIII, 455 p. 150 illus. text |
| 言語: | 英語 |
| 出版事項: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2020.
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| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-642-27795-5 |
| フォーマット: | 電子媒体 図書 |
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.