光学学报, 2019, 39 (2): 0212004, 网络出版: 2019-05-10   

行车环境下钢轨轮廓激光条纹中心的提取方法 下载: 1101次

Laser Stripe Center Extraction Method of Rail Profile in Train-Running Environment
作者单位
1 中国铁道科学研究院集团有限公司基础设施检测研究所, 北京 100081
2 北京交通大学理学院, 北京 100044
摘要
研究了行车环境下激光条纹图像中心线快速、准确且可靠的提取方法。基于ENet深度学习模型实现了激光条纹的多区段快速分割;通过统计各区段内光条梯度方向的直方图来确定各分段光条的法线主方向,并构造了相应的方向模板;利用分区域多模板匹配的灰度重心法实现了光条中心的亚像素坐标提取。研究结果表明,该方法可以有效克服室外行车环境中各类干扰信息对光条中心提取的影响,单幅钢轨轮廓图像的光条提取时间仅为2.1 ms,误差均值约为0.082 pixel,标准差为0.047 pixel,兼顾了光条中心提取的时效性和准确率。
Abstract
The method for the fast, accurate and reliable extraction of laser stripe centers in the train-running environments is studied. The multi-section fast segmentation of laser stripe is achieved based on the ENet deep learning model. The histograms along the gradient direction of light stripes in each section are counted to determine the normal dominant direction and construct the corresponding direction template. The gray-level centroid method with sub-region multi-template matching is proposed for the extraction of sub-pixel coordinates of light stripe center. The research results show that the proposed method can effectively overcome the influences of various types of interference information on laser stripe center extraction in the outdoor train-running environment. The light stripe extraction time is only 2.1 ms for a single rail profile, the mean error is about 0.082 pixel and the standard deviation is 0.047 pixel. The method has good time-effectiveness and high accuracy for laser stripe center extraction.

王胜春, 韩强, 王昊, 赵鑫欣, 戴鹏. 行车环境下钢轨轮廓激光条纹中心的提取方法[J]. 光学学报, 2019, 39(2): 0212004. Shengchun Wang, Qiang Han, Hao Wang, Xinxin Zhao, Peng Dai. Laser Stripe Center Extraction Method of Rail Profile in Train-Running Environment[J]. Acta Optica Sinica, 2019, 39(2): 0212004.

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