Improved mesh algorithms for straight line detection

Y. Pan, Henry Y. H. Chuang
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引用次数: 1

Abstract

The problem of detecting lines in an image with N edge pixels on mesh-connected computers with N processors is considered. Four efficient algorithms that detect lines by performing a Hough transform are presented. The first algorithm runs in O(N/sup 1/2/+n) time on a 2-D mesh, where n is the number of theta values considered. The second algorithm runs in O((N/n)/sup 1/2/+n) time on a 3-D mesh. The third algorithm runs in O(log(N/n)+n) time on an augmented mesh. The fourth algorithm runs in O(n log N/log n) time on a mesh with a reconfigurable bus. All of the algorithms have smaller time complexities than algorithms in the literature.<>
改进的直线检测网格算法
研究了在具有N个处理器的网格连接计算机上具有N个边缘像素的图像中的线检测问题。提出了四种通过霍夫变换检测直线的有效算法。第一种算法在二维网格上运行的时间为O(N/sup 1/2/+ N),其中N是考虑的theta值的数量。第二种算法在三维网格上的运行时间为O((N/ N)/sup 1/2/+ N)。第三种算法在增广网格上的运行时间为O(log(N/ N)+ N)。第四种算法在具有可重构总线的网格上运行的时间为O(n log n /log n)。所有算法都比文献中的算法具有更小的时间复杂度。
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