(Peer-Reviewed) Research on Visual Detection Algorithm for Groove Feature Sizes by Means of Structured Light Projection
ZHA Anfei 查安飞 ¹, LU Yonghua 陆永华 ¹, WANG Mingxin 王明昕 ², ZHU Huayu 朱华煜 ¹
¹ College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, P. R. China
中国 南京 南京航空航天大学机电学院
² Nanjing Atekon Automation Technology Co., Ltd., Nanjing 210012, P. R. China
中国 南京 傲拓科技股份有限公司
Abstract
The visual inspection is an economical and effective method for welding. For measuring the feature sizes of grooves, a method based on line structured light is presented.
Firstly, an adaptive algorithm to extract the sub-pixel centerline of structured light stripes is introduced to deal with the uneven width and grayscale distributions of laser stripes, which is based on the quadratic weighted grayscale centroid. By means of region-of-interest（ROI）division and image difference, an image preprocessing algorithm is developed for filtering noise and improving image quality.
Furthermore, to acquire geometrical dimensions of various grooves and groove types precisely, the sub-pixel feature point extraction algorithm of grooves is designed. Finally, experimental results of feature size measuring show that the absolute error of measurement is 0.031—0.176 mm， and the relative error of measurement is 0.2%—3.6%.
Separation and identification of mixed signal for distributed acoustic sensor using deep learning
Huaxin Gu, Jingming Zhang, Xingwei Chen, Feihong Yu, Deyu Xu, Shuaiqi Liu, Weihao Lin, Xiaobing Shi, Zixing Huang, Xiongji Yang, Qingchang Hu, Liyang Shao
Opto-Electronic Advances
2025-11-25
