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Approximating hv-Convex Binary Matrices and Images from Discrete Projections

  • Fethi Jarray
  • Marie-Christine Costa
  • Christophe Picouleau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4992)

Abstract

We study the problem of reconstructing hv-convex binary matrices from few projections. We solve a polynomial time case and we determine some properties of the hv-convex matrices. Since the problem is NP-complete, we provide an iterative approximation based on a longest path and a min-cost/max-flow model. The experimental results show that the reconstruction algorithm performs quite well.

Keywords

Discrete Tomography hv-convex Image Reconstruction 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Fethi Jarray
    • 1
    • 2
  • Marie-Christine Costa
    • 2
  • Christophe Picouleau
    • 2
  1. 1.Gabes University of Sciences 6072 GabesTunisia
  2. 2.Laboratoire CEDRIC ParisFrance

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