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Fast parallel hough transform linear features extracting method based on graphics processing units

机译:基于图形处理单元的快速平行霍夫变换线性特征提取方法

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The Hough transform has been widely used to determine the location and orientation of straight lines in images in the fields of computer vision and image processing. The problem of the traditional Hough transform is the large amount of calculation and inability to meet the requirements of real-time computing. In this paper, a new parallel Hough transform method which is based on GPU is presented to solve the problem. The method which uses the parallel computing accelerates the computing process and greatly improves the computational efficiency. Therefore, the image processing calculations for linear features extraction process can achieve real-time requirements. The comparative experiment shows that the computing time can reach up to 3ms, and the speed-up ratio can be around 20 times.
机译:Hough变换已被广泛用于确定计算机视觉和图像处理领域的图像中直线的位置和方向。传统霍夫变换的问题是大量的计算,无法满足实时计算的要求。本文提出了一种基于GPU的新的并行霍夫变换方法来解决问题。使用并行计算的方法加速了计算过程,大大提高了计算效率。因此,用于线性特征提取过程的图像处理计算可以实现实时要求。比较实验表明计算时间可以达到3ms,加速比率约为20倍。

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