Reconstructing convex polyominoes from horizontal and vertical projections
Theoretical Computer Science
The reconstruction of polyominoes from their orthogonal projections
Information Processing Letters
The Reconstruction of Convex Polyominoes from Horizontal and Vertical Projections
SOFSEM '98 Proceedings of the 25th Conference on Current Trends in Theory and Practice of Informatics: Theory and Practice of Informatics
An algorithm reconstructing convex lattice sets
Theoretical Computer Science
Random generation of Q-convex sets
Theoretical Computer Science
Determination of Q-convex sets by X-rays
Theoretical Computer Science
Reconstruction of convex lattice sets from tomographic projections in quartic time
Theoretical Computer Science
Theoretical Computer Science
Hi-index | 0.00 |
Filling operations are procedures which are used in Discrete Tomography for the reconstruction of lattice sets having some convexity constraints In [1], an algorithm which performs four of these filling operations has a time complexity of O(N2logN), where N is the size of projections, and leads to a reconstruction algorithm for convex polyominoes running in O(N6 logN)-time In this paper we first improve the implementation of these four filling operations to a time complexity of O(N2), and additionally we provide an implementation of a fifth filling operation (introduced in [2]) in O(N2logN) that permits to decrease the overall time-complexity of the reconstruction algorithm to O(N4logN) More generally, the reconstruction of Q-convex sets and convex lattice sets (intersection of a convex polygon with ℤ2) can be done in O(N4logN)-time.