摘要
提出一种基于机器视觉的钢轨磨耗检测算法,给出激光迹线的细化与多段合成,摄像机标定与边缘配准的处理算法。实验结果表明,该方法能在40ms内完成一次钢轨轮廓检测,平均误差为0.06mm,能够较好的达到实际检测所要求的精度与实时性要求。
A detection algorithm for rail wear detection based on machine vision is proposed. The algorithm of laser trace refinement and multi-segment synthesis, camera calibration and edge registration was presented. The experimental results show that the method can complete the detection of a rail profile within 40ms with the average error is 0.06mm, which can meet the requirements of precision and real-time performance required by actual testing.
作者
卢佳杰
管庶安
Lu Jiajie;Guan shu'an(School of Mathematics and Computer Science,Wuhan Polytechnic University,Wuhan Hubei 430023,China)
出处
《信息与电脑》
2018年第19期77-80,共4页
Information & Computer
基金
国家自然科学基金项目(项目编号:61272278
61401319)
湖北省自然科学基金项目(项目编号:2015CFA061
2014CFB270
2018CFB408)
湖北省重大科技专项(项目编号:2018ABA099)
湖北省教育厅科学技术研究项目(项目编号:Q20181807)
关键词
钢轨
线激光-机器视觉
摄像机标定
边缘配准
rails
line laser-machine vision
camera calibration
edge registration