【摘要】 市政井盖快速定位与识别是提升现代城市部件空间数字化管理水平需要解决的重要问题,针对该问题提出基于车载传感器的复杂背景下路面井盖目标自动定位识别算法。该算法以车载传感器获取的透视图像中井盖所具有的椭圆形几何特征为判据,先利用矢量边缘检测方法提取边缘信息,再运用轮廓跟踪法将边缘构造成轮廓链表,然后通过最小二乘法拟合与快速生成轮廓链表中可能存在的椭圆目标,并根据井盖的形状特征排除透视图中与路面井盖无对应关系的虚假椭圆目标,最终形成高精度定位识别结果。实证研究表明,对达到数据采集质量标准的图像,在一般情况下该算法能较好地实现其中市政井盖的实时定位识别。更多还原

【Abstract】 The fast recognizing and positioning of municipal manhole covers is an important problem needed to be addressed for promoting digital management of modern cities.In view of the above problem,this paper proposed an algorithm,to automatically recognize and position road manhole covers under complex background in natural scene based on vehicle-mounted sensors.Taking the elliptical geometrical characteristic of manhole cover in perspective image captured by vehicle-mounted sensors as criterion,the algorithm firstly extracted edge information by employing vector edge detection method.Secondly constructed a contour list with boundary through contour tracing,then imitated and quickly generated all the possible elliptical targets in the contour list by means of least square fitting method.Subsequently eliminated the elliptical targets without relationship corresponding to road manhole covers according to their shape features,and last formed accurate results of recognition and position.Experiment shows that generally the algorithm is able to achieve real-time manhole cover targets recognition rapidly and effectively for images conforming to quality standard of data capturing.更多还原