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Handbook of Mathematical Methods in Imaging

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Handbook of Mathematical Methods in Imaging/ edited by Otmar Scherzer.
其他作者:	Scherzer, Otmar.
面頁冊數:	XVIII, 455 p. 150 illus.online resource. :
Contained By:	Springer Nature Living Reference
標題:	Applied mathematics. -
電子資源:	https://doi.org/10.1007/978-3-642-27795-5
ISBN:	9783642277955

Handbook of Mathematical Methods in Imaging
Handbook of Mathematical Methods in Imaging[electronic resource] /edited by Otmar Scherzer. - XVIII, 455 p. 150 illus.online resource.

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.

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.

ISBN: 9783642277955

Standard No.: 10.1007/978-3-642-27795-5doiSubjects--Topical Terms:

1069907
Applied mathematics.

LC Class. No.: T57-57.97

Dewey Class. No.: 519

Handbook of Mathematical Methods in Imaging
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520 $a 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.
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650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Numerical analysis. $3 527939
650 0 $a Radiology. $3 673943
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650 2 4 $a Image Processing and Computer Vision. $3 670819
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650 2 4 $a Numerical Analysis. $3 671433
650 2 4 $a Imaging / Radiology. $3 669876
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