基于改进霍夫变换的轨道边缘检测方法

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA) Pub Date : 2021-01-22 DOI:10.1109/ICPECA51329.2021.9362706

Xiaoguang Li, Zijian Cong, Yong Zhang

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引用次数: 2

摘要

为保证列车运行安全，有必要加强对列车运行环境的实时监测。本文采用改进的霍夫变换对轨道边缘进行检测。首先，使用Canny算子检测图像的边缘。其次，找出边缘图像之间的直线。第三，找出最长的线条作为轮廓。利用Matlab仿真对采集到的图像进行检测。实验结果表明，该检测方法能取得较好的效果。

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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Rail Track Edge Detection Methods Based on Improved Hough Transform

In order to ensure the safety of train operation, it is necessary to strengthen the real-time monitoring of train operation environment. This paper use improved Hough transform to detect the rail track edge. First, detect the edge of the image use Canny operator. Second, find the lines among the edge image. Third, find longest lines as the outlines. Matlab simulation is used to detect the collected image. Experimental results show that this detection method can get a good result.

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来源期刊

2021 IEEE International Conference on Power Electronics, Computer Applications (ICPECA)

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