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An O(1) time algorithm for the 3D Euclidean distance transform on the CRCW PRAM model

机译:CRCW PRAM模型上的3D欧式距离变换的O(1)时间算法

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We develop a parallel algorithm for the 2D Euclidean distance transform (2D/spl I.bar/EDT, for short) of a binary image of size N /spl times/ N in O(1) time using N/sup 2+/spl delta/+/spl epsi// CRCW processors and a parallel algorithm for the 3D Euclidean distance transform (3D/spl I.bar/EDT, for short) of a binary image of size N /spl times/ N /spl times/ N in O(1) time using N/sup 3+/spl delta/+/spl epsi// CRCW processors, where /spl delta/=1/, /spl epsi/=1/(2/sup c+1/-1), h, and are constants and positive integers. Our 2D/spl I.bar/EDT (3D/spl I.bar/EDT) parallel algorithm can be used to build up Voronoi diagram and Voronoi polygons (polyhedra) in a 2D (3D) binary image also. All of these parallel algorithms can be performed in O(1) time using N/sup 2+/spl delta/+/spl epsi// (N/sup 3+/spl delta/+/spl epsi//) CRCW processors. To the best of our knowledge, all results derived above are the best O(1) time algorithms known.
机译:我们使用N / sup 2 + / spl为N(s)次/ N(O(1)时间)大小的N / spl次/ N的二进制图像的2D欧几里德距离变换(简称2D / spl I.bar/EDT)开发了并行算法。 delta / + / spl epsi // CRCW处理器和用于大小为N / spl times / N / spl times / N的二进制图像的3D欧几里德距离变换(简称3D / spl I.bar/EDT)的并行算法在O(1)时间中使用N / sup 3 + / spl delta / + / spl epsi // CRCW处理器,其中/ spl delta / = 1 /,/ spl epsi / = 1 /(2 / sup c + 1 /- 1),h和是常数和正整数。我们的2D / spl I.bar/EDT(3D / spl I.bar/EDT)并行算法还可用于在2D(3D)二值图像中构建Voronoi图和Voronoi多边形(多面体)。使用N / sup 2 + / spl delta / + / spl epsi //(N / sup 3 + / spl delta / + / spl epsi //)CRCW处理器,可以在O(1)时间内执行所有这些并行算法。据我们所知,上面得出的所有结果都是已知的最佳O(1)时间算法。

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