Generic iterative subset algorithms for discrete tomography

DOI10.1016/j.dam.2008.05.033zbMath1162.68780DBLPjournals/dam/BatenburgS09OpenAlexW2126724845WikidataQ62663956 ScholiaQ62663956MaRDI QIDQ1003704

Kees Joost Batenburg, Jan Sijbers

Publication date: 4 March 2009

Published in: Discrete Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://repository.uantwerpen.be/docman/irua/6ed94e/d7dbe877.pdf

zbMATH Keywords

network flowsdiscrete tomography

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Related Items (1)

Comparison of approaches based on optimization and algebraic iteration for binary tomography

Cites Work

• A theorem on flows in networks
• Binary matrices under the microscope: A tomographical problem
• On the computational complexity of reconstructing lattice sets from their \(X\)-rays
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• Approximating Binary Images from Discrete X-Rays
• Algebraic aspects of discrete tomography
• A new algorithm for 3D binary tomography
• A Network Flow Algorithm for Binary Image Reconstruction from Few Projections
• A Benchmark Evaluation of Large-Scale Optimization Approaches to Binary Tomography
• Discrete Point X-rays
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