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A generic and parallel algorithm for 2D digital curve polygonal approximation

机译:二维数字曲线多边形逼近的通用并行算法

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In this paper, we present a generic topological and geometrical framework which allows to define and control several parallel algorithms for 2D digital curve approximation. The proposed technique is based on combinatorial map simplifications guided by geometrical criteria. We illustrate the genericity of the framework by defining three contour simplification methods: a polygonal approximation one based an area deviation computation; a digital straight segments reconstruction one which guaranties to obtain a loss-less representation; and a moment preserving simplification one which simplifies the contours while preserving geometrical moments of the image regions. Thanks to a complete experimental evaluation, we demonstrate that the proposed methods can be efficiently implemented in a multi-thread environment to simplify labeled image contours.
机译:在本文中,我们提出了一种通用的拓扑和几何框架,该框架允许定义和控制用于2D数字曲线逼近的几种并行算法。所提出的技术是基于几何准则指导的组合图简化。我们通过定义三种轮廓简化方法来说明框架的通用性:一种基于面积偏差计算的多边形逼近法;另一种基于面积偏差计算的多边形逼近法。数字直线段重建,保证获得无损表示;时刻保持简单化是一种在保持图像区域的几何力矩的同时简化轮廓的方法。由于进行了完整的实验评估,我们证明了所提出的方法可以在多线程环境中有效实现,以简化标记的图像轮廓。

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