盾构隧道点云模块化提取方法

Modular extraction method for point cloud of shield tunnel

针对盾构隧道模块提取,本文提出了一种结合Hough直线检测和图像匹配的提取方法。首先基于RANSAC算法实现盾构隧道进行圆柱展开,并对张开的隧道点云二值化;然后采用带限制条件的Hough变换算法实现盾构隧道环的提取;最后基于隧道环片内封顶模块和邻接模块中部螺栓孔数和螺栓孔布局的特殊性匹配模块,结合环片构造尺寸精确提取模块点云。通过扫描某地铁获取的点云数据试验对本文算法进行验证。结果表明,本文算法可有效实现盾构隧道模块化提取。

This paper proposes an extraction method that combines Hough line detection and image matching for shield tunnel module extraction.Firstly,based on the RANSAC algorithm,the shield tunnel is cylindrical unfolded,and the open tunnel point cloud is binarized.Then,the Hough transform algorithm with constraints is used to extract the shield tunnel ring.Finally,based on the special matching module of the number of bolt holes and bolt hole layout in the middle of the inner sealing module and adjacent module of the tunnel ring,the module point cloud is accurately extracted by combining the ring construction size.The algorithm proposed in this paper is validated by scanning point cloud data obtained from a certain subway,and the results show that the algorithm can effectively achieve modular extraction of shield tunnels.