Approximating hv-convex binary matrices and images from discrete projections

  • Authors:
  • Fethi Jarray;Marie-Christine Costa;Christophe Picouleau

  • Affiliations:
  • Gabes University of Sciences, Gabes, Tunisia and Laboratoire CEDRIC, Paris, France;Laboratoire CEDRIC, Paris, France;Laboratoire CEDRIC, Paris, France

  • Venue:
  • DGCI'08 Proceedings of the 14th IAPR international conference on Discrete geometry for computer imagery
  • Year:
  • 2008

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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.