TomoGC: Binary Tomography by Constrained GraphCuts

  • Jörg Hendrik Kappes
  • Stefania Petra
  • Christoph Schnörr
  • Matthias Zisler
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9358)


We present an iterative reconstruction algorithm for binary tomography, called TomoGC, that solves the reconstruction problem based on a constrained graphical model by a sequence of graphcuts. TomoGC reconstructs objects even if a low number of measurements are only given, which enables shorter observation periods and lower radiation doses in industrial and medical applications. We additionally suggest some modifications of established methods that improve state-of-the-art methods. A comprehensive numerical evaluation demonstrates that the proposed method can reconstruct objects from a small number of projections more accurate and also faster than competitive methods.



Financial support of our research work by the DFG, grant GRK 1653. is gratefully acknowledged.


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© Springer International Publishing Switzerland 2015

Open Access This chapter is distributed under the terms of the Creative Commons Attribution Noncommercial License, which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Authors and Affiliations

  • Jörg Hendrik Kappes
    • 1
  • Stefania Petra
    • 1
  • Christoph Schnörr
    • 1
  • Matthias Zisler
    • 1
  1. 1.Heidelberg UniversityHeidelbergGermany

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