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Discrete Tomography

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Cover of 'Discrete Tomography'

Table of Contents

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    Book Overview
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    Chapter 1 Discrete Tomography: A Historical Overview
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    Chapter 2 Sets of Uniqueness and Additivity in Integer Lattices
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    Chapter 3 Tomographic Equivalence and Switching Operations
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    Chapter 4 Uniqueness and Complexity in Discrete Tomography
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    Chapter 5 Reconstruction of Plane Figures from Two Projections
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    Chapter 6 Reconstruction of Two-Valued Functions and Matrices
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    Chapter 7 Reconstruction of Connected Sets from Two Projections
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    Chapter 8 Binary Tomography Using Gibbs Priors
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    Chapter 9 Probabilistic Modeling of Discrete Images
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    Chapter 10 Multiscale Bayesian Methods for Discrete Tomography
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    Chapter 11 An Algebraic Solution for Discrete Tomography
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    Chapter 12 Binary Steering of Nonbinary Iterative Algorithms
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    Chapter 13 Reconstruction of Binary Images via the EM Algorithm
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    Chapter 14 Compact Object Reconstruction
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    Chapter 15 CT-Assisted Engineering and Manufacturing
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    Chapter 16 3D Reconstruction from Sparse Radiographic Data
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    Chapter 17 Heart Chamber Reconstruction from Biplane Angiography
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    Chapter 18 Discrete Tomography in Electron Microscopy
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    Chapter 19 Tomography on the 3D-Torus and Crystals
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    Chapter 20 A Recursive Algorithm for Diffuse Planar Tomography
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    Chapter 21 From Orthogonal Projections to Symbolic Projections
Attention for Chapter 6: Reconstruction of Two-Valued Functions and Matrices
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Chapter title
Reconstruction of Two-Valued Functions and Matrices
Chapter number 6
Book title
Discrete Tomography
Published by
Birkhäuser, Boston, MA, January 1999
DOI 10.1007/978-1-4612-1568-4_6
Book ISBNs
978-1-4612-7196-3, 978-1-4612-1568-4
Authors

Attila Kuba, Kuba, Attila