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Michel Schmitt

Propagation function: towards constant time algorithms

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Abstract

Let Pn be the regular n-sided polygon inscribed in a circle of radius 1 in the plane. The distance from x to y induced by Pn is the smallest size of the homothety of Pn centered at x and containing y. On X, simply connected planar set, the propagation functionis defined by(x) = supyX(x,y) where(x,y) is the geodesic distance in X, that is the lower bound of the length (induced by Pn) of the paths entirely lying inside X and linking x to y. Efficient algorithms forare based on the following remark: the farthest points to any x in X may have only a few possible locations Y. In this paper, it is shown that, as in the convex case, there exists a set Y with at most n elements, such that(x) = supyY(x,y). In the case of the square lattice equipped with the 4-connectivity distance, this theorem leads to an algorithm computing the propagation function by means of at most 7 geodesic balls, whatever the shape of X.

Keywords : digital metrics, geodesic distance, propagation function

To cite this article

Michel Schmitt, «Propagation function: towards constant time algorithms», Acta Stereologica [En ligne], Volume 13 (1994), Number 1 - Proceedings of the sixth European congress for stereology - Part two - May 1994, 137-142 URL : https://popups.ulg.ac.be/0351-580x/index.php?id=4558.

About: Michel Schmitt

Thomson-CSF, Laboratoire Central de Recherches, Domaine de Corbeville, 91404 Orsay-Cedex, France