Zhou Xiao, Zhou Cong, Zhang Tingting, Mou Xingang, Xu Jiaxin, He Yi
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China.
Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, China.
Sensors (Basel). 2022 Mar 8;22(6):2081. doi: 10.3390/s22062081.
The visual dimension measurement method based on non-splicing single lens has the contradiction between accuracy and range of measurement, which cannot be considered simultaneously. In this paper, a multi-camera cooperative measurement method without mechanical motion is proposed for the dimension measurement of thin slice workpiece. After the calibration of the multi-camera imaging system is achieved through a simple and efficient scheme, the high-precision dimension measurement with a large field of view can be completed through a single exposure. First, the images of the edges of the workpiece are compressed and combined by splitting and merging light through the multi-prism system, and the results are distributed to multiple cameras by changing the light path. Then, the mapping relationship between the global measurement coordinates and the image coordinates of each camera is established based on the globally unique M-array coding, and the image distortion is corrected by the coding unit composed of black and white blocks. Finally, the edge is located accurately by edge point detection at the sub-pixel level and curve fitting. The results of measuring a test workpiece with the dimension of 24 mm × 12 mm × 2 mm through a single exposure show that the repeated measurement accuracy can reach 0.2 µm and the absolute accuracy can reach 0.5 µm. Compared with other methods, our method can achieve the large-field measurement through only one exposure and without the mechanical movement of cameras. The measurement precision is higher and the speed is faster.
基于非拼接单镜头的视觉尺寸测量方法存在精度与测量范围的矛盾,无法同时兼顾。本文针对薄片工件的尺寸测量,提出一种无机械运动的多相机协同测量方法。通过一种简单高效的方案实现多相机成像系统的标定后,单次曝光即可完成大视场高精度尺寸测量。首先,工件边缘图像经多棱镜系统分光合光进行压缩合并,通过改变光路将结果分配到多个相机。然后,基于全局唯一的M阵列编码建立全局测量坐标与各相机图像坐标的映射关系,利用由黑白块组成的编码单元校正图像畸变。最后,通过亚像素级边缘点检测和曲线拟合实现边缘的精确定位。对尺寸为24 mm×12 mm×2 mm的测试工件单次曝光测量结果表明,重复测量精度可达0.2 µm,绝对精度可达0.5 µm。与其他方法相比,本文方法仅需单次曝光且无需相机机械运动即可实现大视场测量,测量精度更高,速度更快。