Machine-vision-based Defect Detection Using Circular Hough Transform in Laser Welding
Qiao Ding, Jianhua Ji, Feng Gao, Yatao Yang
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.141How to use a DOI?
- laser welding, machine vision, Circular Hough Transform, defect detection
- In the field of laser welding, image processing technology is the general method to detect defects on the surface of the seam. Here the Hough Transform is introduced into the defect detection and the accuracy is greatly improved. The process is to use the industrial CCD(Charge-coupled Device) camera for image acquisition, then use Canny operator for edge detection, use Circular Hough Transform to locate the weld seam position, and finally compare the number of continuous pixels with the defect criteria to report detection results. Experimental data show that the false positive rate and false negative rate are greatly reduced after the Hough Transform is introduced into the defect detection, which has met the industrial requirements.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qiao Ding AU - Jianhua Ji AU - Feng Gao AU - Yatao Yang PY - 2016/03 DA - 2016/03 TI - Machine-vision-based Defect Detection Using Circular Hough Transform in Laser Welding BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 729 EP - 732 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.141 DO - https://doi.org/10.2991/icmmct-16.2016.141 ID - Ding2016/03 ER -