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Modeling, Analysis, and Visualization of Anisotropy /

This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers th...

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Schultz, Thomas (Editor); Ozarslan, Evren (Editor); Hotz, Ingrid (Editor)
Published: Springer International Publishing : Imprint: Springer,
Publisher Address: Cham :
Publication Dates: 2017.
Literature type: eBook
Language: English
Series: Mathematics and Visualization,
Subjects:
Mathematics.
Image processing.
Matrix theory.
Algebra.
Computer mathematics.
Visualization.
Linear and Multilinear Algebras, Matrix Theory.
Computational Science and Engineering.
Image Processing and Computer Vision.
Online Access: http://dx.doi.org/10.1007/978-3-319-61358-1
Summary: This book focuses on the modeling, processing and visualization of anisotropy, irrespective of the context in which it emerges, using state-of-the-art mathematical tools. As such, it differs substantially from conventional reference works, which are centered on a particular application. It covers the following topics: (i) the geometric structure of tensors, (ii) statistical methods for tensor field processing, (iii) challenges in mapping neural connectivity and structural mechanics, (iv) processing of uncertainty, and (v) visualizing higher-order representations. In addition to original research contributions, it provides insightful reviews. This multidisciplinary book is the sixth in a series that aims to foster scientific exchange between communities employing tensors and other higher-order representations of directionally dependent data. A significant number of the chapters were co-authored by the participants of the workshop titled Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis, which was held in Dagstuhl, Germany in April 2016. It offers a valuable resource for those working in the field of multi-directional data, vital inspirations for the development of new models, and essential analysis and visualization techniques, thus furthering the state-of-the-art in studies involving anisotropy.
Carrier Form: 1 online resource(X,407pages): illustrations.
ISBN: 9783319613581
Index Number: QA184
CLC: O151.2
Contents: Part I: Features and Visualization -- Part II: Image Processing and Analysis -- Part III: Diffusion Modeling and Microstructure -- Part IV: Tractography -- Part V: Machine Learning Approaches.

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