沥青路面结构光条质心定位算法

Centroid position algorithm of structure optical stripe in asphalt pavement test

将基于结构光的激光三角法应用于沥青路面构造深度检测,并提出适合该场合的结构光条质心定位算法。根据激光束宽度较窄且光强较大的特点,对采集图像进行固定阈值和平均阈值相结合的滤波处理,同时根据粗糙沥青路面存在漫反射的特性,利用有效光斑窗口长度最大化的干扰消除方法去除孤点噪声,最后由亚像素级的重心法实现质心定位。实验数据表明,本文方法测量路面构造深度的精度可达到0.1mm。相比于目前主流的基于激光测距的路面构造深度检测,可实现由线到面的跨越。

Considering the limitations and complications in measuring the surface at high speed, a laser line triangulation technique is explored to measure surface topography in a wide scale. Based on the applica- tion of structured laser triangulation for pavement structure depth detection, a novel centroid position al- gorithm of structure optical stripe is proposed in this paper. Firstly, based on the characteristics of fine width and light intensity of laser beams, the fixed threshold and mean threshold are merged during pre- filter processing of the original image. Then, by means of maximizing the length of valid spot window, the interference of solitary noise, caused by diffuse reflection of coarse pavement is eliminated. Finally, the sub-pixel level gravity method is employed to extract the centroid position of a structure stripe. Experi- mental results show that the measurement accuracy can be up to 0. 1 mm. Compared with the dot area in the existing laser surface detection technology, the main contribution of the proposed method is to expand the detection object from dot to line, which can obtain continuous road data for three-dimensional micro- scopic surface texture reconstruction.