摘要
在盾构实际施工过程中,为解决在对管片状态采用非接触式测量检测时,管片端面干扰较多,传统光条中心点坐标提取算法易受干扰、波动性大的问题,提出一种光条中心点坐标提取优化算法。该算法首先采用自适应阈值二值化、形态学处理等操作对图像进行预处理,消除部分干扰;其次采用加权灰度重心法提取得到初始光条中心点坐标,将此坐标作为优化对象,采用距离阈值和三次样条插值法对坐标进行初步优化和二次优化,得到最终优化的线结构光中心坐标点。试验结果表明,该算法不仅提高了中心点坐标提取精度,而且满足工业需求,实时性较高,为后续检测管片椭圆度、捕捉管片相对盾构姿态奠定了良好的基础。
In the actual construction process of shield machine, in order to solve the problem that when the non-contact measurement is used to detect the segment state, the segment end face has more interference, and the traditional light strip center point coordinate extraction algorithm is easy to be disturbed and fluctuated, an optimization algorithm for light strip center point coordinate extraction is proposed. Firstly, the image is preprocessed by adaptive threshold binarization and morphological processing to eliminate some interference;secondly, the weighted gray barycenter method is used to extract the coordinates of the initial light stripe center point, which is taken as the optimization object. The distance threshold and cubic spline interpolation method are used to preliminarily optimize and secondary optimize the coordinates, and the final optimized line structured light center point is obtained.The test results show that the algorithm not only improves the extraction accuracy of the center point coordinate, but also meets the industrial requirements with high real-time performance, which lays a good foundation for subsequent detection of the ellipticity of the segment and capturing the relative shield tunneling attitude of the segment.
作者
刘宇豪
郭京波
刘文栋
武薇
尤南洋
王涵
Liu Yuhao;Guo Jingbo;Liu Wendong;Wu Wei;You Nanyang;Wang Han(State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures,Shijiazhuang Railway University,Shijiazhuang,Hebei 050043,China;China Railway Engineering Equipment Group Co.,Ltd.,Zhengzhou,Henan450016,China)
出处
《应用激光》
CSCD
北大核心
2021年第4期869-875,共7页
Applied Laser
基金
国家重点研发项目(2020YFB1709500)
河北省自然科学基金资助项目(E2019210275)
石家庄铁道大学创新项目(YC2021036)。
关键词
盾构施工
管片
光条中心线提取
加权灰度重心法
优化
shield construction
segment
the center line of light stripe is extracted
weighted gray barycenter method
optimization
