中轴线变换的串行和并行算法

J. Jenq, S. Sahni
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引用次数: 40

摘要

本文提出了一种O(n/sup 2/)时间序列算法来获取n*n图像的中轴变换(MAT)。同时提出了一种O(logn)时间的CREW PRAM算法和O(log/sup 2/n)时间的SIMD超立方并行算法。它们都使用O(n/sup 2/)处理器。与MAT相关的两个问题也进行了研究。这是区域和周边报告问题。针对这两个问题,作者开发了一个O(logn)时间的超立方体算法。这里n是MAT中的方格数,算法使用O(n/sup 2/)个处理器。
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Serial and parallel algorithms for the medial axis transform
The authors develop an O(n/sup 2/) time serial algorithm to obtain the medial axis transform (MAT) of an n*n image. An O(logn) time CREW PRAM algorithm and an O(log/sup 2/n) time SIMD hypercube parallel algorithm for the MAT are also developed. Both of these use O(n/sup 2/) processors. Two problems associated with the MAT are also studied. These are the area and perimeter reporting problem. The authors develop an O(logn) time hypercube algorithm for both of these problems. Here n is the number of squares in the MAT and the algorithms use O(n/sup 2/) processors.<>
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