Automated dimensional inspection is commonly expensive because of the requirement of high-precision measurement devices. To perform a precision measurement, the technician must be highly skilled and fully understands the operation of the equipment. This study proposes a method for reconstructing the two-dimensional profiles of ring-shaped objects using image processing. At first, an industrial camera captures partial images of the object. After that, through several image processing procedures such as binarization, line detection, and contour recognition, the profiles in the images were detected and grouped. Then, a calibration model was introduced to calibrate and combine the contours from partial images. This process results in a point cloud consisting of every point from the outer and inner contours of the object, which can be directly used for the automatic measurement. To verify the proposed method, the data were compared with those acquired from the ATOS measurement system, revealing a favourable correlation.

由于需要高精度测量设备，自动尺寸检测通常很昂贵。要进行精密测量，技术人员必须具有高技能并充分了解设备的操作。本研究提出了一种使用图像处理重建环形物体二维轮廓的方法。首先，工业相机捕捉物体的部分图像。之后，通过二值化、线检测、轮廓识别等多种图像处理程序，对图像中的轮廓进行检测和分组。然后，引入校准模型对部分图像的轮廓进行校准和组合。这个过程产生了一个点云，它由物体外部和内部轮廓的每个点组成，可直接用于自动测量。为了验证所提出的方法，将数据与从 ATOS 测量系统获得的数据进行了比较，揭示了良好的相关性。