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Parallel algorithms for identifying convex and non-convex basis polygons in an image

机译:识别图像中凸和非凸基础多边形的并行算法

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In this paper, we propose two novel parallel algorithms for identifying all the basis polygons in an image formed by n straight line segments each of which is represented by its two end points. The first algorithm is designed to tackle the simple situation where all basis polygons are convex. The second one deals with the general situation when the basis polygons can be both convex and non-convex. These algorithms are based on an idea of traversal along the periphery of the basis polygons in a well-defined manner so that each of these needs only O(n) time using an n x n processor array. Simulation results on various test input sets of intersecting line segments have also been found satisfactory.
机译:在本文中,我们提出了两种新颖的并行算法,用于识别由n个直线段组成的图像中的所有基础多边形,每个直线段均由其两个端点表示。第一种算法旨在解决所有基础多边形均为凸形的简单情况。第二个涉及基本多边形既可以是凸面也可以是非凸面的一般情况。这些算法基于以明确定义的方式沿基本面的多边形遍历的思想,因此使用n x n处理器阵列,每个算法仅需要O(n)时间。还发现在相交线段的各种测试输入集上的仿真结果令人满意。

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