Convergence and Continuity Criteria for Discrete Approximations of the Continuous Planar Skeleton

Brandt J.W.
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引用次数: 80

Abstract

It has been proposed recently that the skeleton of a shape can be computed using the Voronoi diagram of a discrete sample set of the shape boundary. This method avoids many of the complications encountered when computing the skeleton directly from an image because it is based on a continuous-domain model for shapes. In order to make better use of this new approach, it is necessary to establish a bridge between the continuous domain skeleton and its approximation obtained from the discrete boundary sample set. In this paper, the skeleton and Voronoi diagram formulations are briefly reviewed and elaborated upon to establish criteria for the functions to be continuous. Then the new continuity results are related to the discrete sample set model in order to establish conditions under which the skeleton approximation converges to the exact continuous skeleton.

连续平面骨架离散逼近的收敛性和连续性准则
最近有人提出,可以使用形状边界的离散样本集的Voronoi图来计算形状的骨架。这种方法避免了直接从图像计算骨架时遇到的许多复杂性,因为它是基于形状的连续域模型。为了更好地利用这种新方法,有必要在连续的域骨架和从离散边界样本集得到的近似之间建立一座桥梁。在本文中,简要回顾和阐述了骨架和Voronoi图的公式,以建立函数连续的准则。然后将新的连续性结果与离散样本集模型联系起来,以建立骨架近似收敛于精确连续骨架的条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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