Approximating hv-convex binary matrices and images from discrete projections
Résumé
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- ow model. The experimental results show that the reconstruction algorithm performs quite well.