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Visualization and Processing of Tensor Fields

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Table of Contents

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    Book Overview
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    Chapter 1 Modelling, Fitting and Sampling in Diffusion MRI
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    Chapter 2 Tensors, Polynomials and Models for Directional Data
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    Chapter 3 A Mixture of Wisharts (MOW) Model for Multifiber Reconstruction
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    Chapter 4 Visualization and Processing of Tensor Fields
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    Chapter 5 Structure-Specific Statistical Mapping of White Matter Tracts
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    Chapter 6 Analysis of Distance/Similarity Measures for Diffusion Tensor Imaging
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    Chapter 7 Tensor Glyph Warping: Visualizing Metric Tensor Fields using Riemannian Exponential Maps
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    Chapter 8 Interactive Volume Rendering of Diffusion Tensor Data
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    Chapter 9 Dense Glyph Sampling for Visualization
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    Chapter 10 The Role of Tensor Fields for Satellite Gravity Gradiometry
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    Chapter 11 Tensor Visualization and Defect Detection for Nematic Liquid Crystals using Shape Characteristics
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    Chapter 12 A Tensor Approach to Elastography Analysis and Visualization
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    Chapter 13 A Higher-Order Structure Tensor
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    Chapter 14 Monogenic Curvature Tensor as Image Model
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    Chapter 15 A General Structure Tensor Concept and Coherence-Enhancing Diffusion Filtering for Matrix Fields
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    Chapter 16 Coordinates-Based Diffusion Over the Space of Symmetric Positive-Definite Matrices
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    Chapter 17 Variational Methods for Denoising Matrix Fields
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    Chapter 18 An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images
Attention for Chapter 18: An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images
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Chapter title
An Operator Algebraic Inverse Scale Space Method for Symmetric Matrix Valued Images
Chapter number 18
Book title
Visualization and Processing of Tensor Fields
Published by
Springer, Berlin, Heidelberg, January 2009
DOI 10.1007/978-3-540-88378-4_18
Book ISBNs
978-3-54-088377-7, 978-3-54-088378-4
Authors

Johan Lie, Bernhard Burgeth, Oddvar Christiansen, Lie, Johan, Burgeth, Bernhard, Christiansen, Oddvar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 20%
Denmark 1 20%
Unknown 3 60%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Professor 1 20%
Professor > Associate Professor 1 20%
Student > Ph. D. Student 1 20%
Readers by discipline Count As %
Computer Science 2 40%
Mathematics 1 20%
Medicine and Dentistry 1 20%
Unknown 1 20%