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Further steps on the reconstruction of convex polyominoes from orthogonal projections

Journal
Journal of Combinatorial Optimization
ISSN
1382-6905
Date Issued
2022
Author(s)
Tarsisi, Lama 
Physics, Mathematics, Computer science 
Dulio, Pablo
Frosini, Andrea
Rinaldi, Simone
Vuillon, Laurent
DOI
10.1007/s10878-021-00751-z
URI
https://dspaceusad7.4science.cloud/handle/123456789/1233
Abstract
A remarkable family of discrete sets which has recently attracted the attention of the discrete geometry community is the family of convex polyominoes, that are the discrete counterpart of Euclidean convex sets, and combine the constraints of convexity and connectedness. In this paper we study the problem of their reconstruction from orthogonal projections, relying on the approach defined by Barcucci et al. (Theor Comput Sci 155(2):321–347, 1996). In particular, during the reconstruction process it may be necessary to expand a convex subset of the interior part of the polyomino, say the polyomino kernel, by adding points at specific positions of its contour, without losing its convexity. To reach this goal we consider convexity in terms of certain combinatorial properties of the boundary word encoding the polyomino. So, we first show some conditions that allow us to extend the kernel maintaining the convexity. Then, we provide examples where the addition of one or two points causes a loss of convexity, which can be restored by adding other points, whose number and positions cannot be determined a priori.</jats:p>
Subjects
  • Digital convexity

  • Discrete geometry

  • Discrete tomography

  • Reconstruction proble...

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 Further steps on the reconstruction of convex polyominoes from orthogonal projections (586.46 KB)
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