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首页> 外文期刊>Theoretical computer science >Approximating Euclidean circles by neighbourhood sequences in a hexagonal grid
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Approximating Euclidean circles by neighbourhood sequences in a hexagonal grid

机译:通过六边形网格中的邻域序列逼近欧几里得圆

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In this paper the nodes of the hexagonal grid are used as points. There are three types of neighbours on this grid, therefore neighbourhood sequences contain values 1, 2, 3. The grid is coordinatized by three coordinates in a symmetric way. Digital circles are classified based on digital distances using neighbourhood sequences. They can be triangle, hexagon, enneagon and dodecagon. Their corners and side-lengths are computed, such as their perimeters and areas. The radius of a digital disk is usually not well-defined, i.e., the same disk can have various radii according to the neighbourhood sequence used. Therefore the non-compactness ratio is used to measure the quality of approximation of the Euclidean circles. The best approximating neighbourhood sequence is presented. It is shown that the approximation can be improved using two neighbourhood sequences in parallel. Comparisons to other approximations are also shown.
机译:在本文中,六角形网格的节点被用作点。此网格上有三种类型的邻居,因此邻居序列包含值1、2、3。该网格由三个坐标以对称方式进行协调。使用邻域序列基于数字距离对数字圆进行分类。它们可以是三角形,六边形,对角线和十二边形。计算它们的角和边长,例如其周长和面积。数字磁盘的半径通常没有明确定义,即同一磁盘根据所使用的邻域序列可以具有不同的半径。因此,非紧实度比率用于测量欧几里得圆的近似质量。提出了最佳近似邻域序列。结果表明,使用两个并行的邻域序列可以提高近似度。还显示了与其他近似值的比较。

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