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机构地区:[1]兰州交通大学自动化与电气工程学院,甘肃兰州730070
出 处:《兰州交通大学学报》2014年第4期16-20,共5页Journal of Lanzhou Jiaotong University
基 金:铁道部科技计划资助项目(2010G-014G);甘肃省自然科学基金(1308RJZA172);兰州交通大学青年科学基金(2013042);兰州市科技计划项目(2013-3-79);兰州交通大学科技支撑基金(ZC2014003)
摘 要:激光光斑中心精确定位是铁路路基表面沉降视觉测量系统的关键技术,关系沉降测量的精度.分析了铁路路基表面沉降视觉测量的基本原理,结合激光光斑图像的特点,在以光斑轮廓邻域的灰度分布进行曲面建模的基础上提出基于曲面拟合的光斑亚像素中心定位方法,并通过实验验证了该方法光斑中心定位精度优于常用的基于重心灰度分布曲线拟合法,定位精度高且鲁棒性好,达到了铁路路基沉降观测精度的要求.The precise location of the laser spot center of railway subgrade surface settlement is critical to settlement measurement accuracy and the key technology of the vision measurement system.With the basic principle of the visual measurement of railway subgrade surface settle-ment,the surface model of spot image neighborhood gray distribution has been established com-bined with the characteristics of the laser spot image gray distribution.The sub-pixel center posi-tion of the laser spot image method based on curved surface fitting is put forward.Laboratory tests show that the proposed method is better than that commonly used gravity gray distribution curve fitting which has high positioning accuracy and good robustness,and appropriated to the monitor accuracy requirements of railway subgrade settlement monitoring system.
分 类 号:U213.244[交通运输工程—道路与铁道工程]
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