Efficient Component Labeling on SIMD Mesh Processors

Whanki Yong, M. Brady
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引用次数: 1

Abstract

A new component labeling algorithm for SIMD meshes is presented whose time complexity is O(frac{{n^2 }} {{p^2 }} + n) for an n ¿ n image on a p ¿ p mesh. The algorithm is efficient in terms of total work for p leqslant n^{frac{1} {2}} . It was evaluated on a MasPar MP-1 with 1K processors and 64KB of memory per processor. For most of the 1K ¿ 1K size test inputs, our algorithm is faster than a neighbor updating algorithm that is extremely simple but asymptotically slower on images of large diameter.
SIMD网格处理器的高效组件标记
提出了一种新的SIMD网格分量标注算法,其时间复杂度为0 (frac{{n^2}} {{p^2}} + n),适用于p^ p网格上的n^ n图像。该算法在p的总工作量方面是有效的n^{frac{1}{2}}。它是在具有1K处理器和每个处理器64KB内存的MasPar MP-1上进行评估的。对于大多数1K ~ 1K大小的测试输入,我们的算法比邻居更新算法快,邻居更新算法非常简单,但在大直径图像上渐近变慢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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