Laser & Optoelectronics Progress, Volume. 57, Issue 22, 221013(2020)
Surface Crack Size Detection in Nuclear Fuel Rods Based on Line Structured Light
[3] Sun Y S, Li M, Liu H et al. Bearing fault detection based on acoustic emission technique[J]. Nondestructive Testing Technologying, 37, 17-20, 60(2015).
[7] Gao J Q, Liu G H[J]. 3D defect detection technology for rail surface with multi-camera line structure light Machinery Design & Manufacture, 2017, 170-172, 176.
[8] Tsai D M, Hsieh C Y. Automated surface inspection for directional textures[J]. Image and Vision Computing, 18, 49-62(1999).
[10] Alippi C, Casagrande E, Scotti F et al. Composite real-time image processing for railways track profile measurement[J]. IEEE Transactions on Instrumentation and Measurement, 49, 559-564(2000).
[13] Wang Y D, Yu Z J, Bai B et al. Research on image processing based subway tunnel crack identification algorithm[J]. Chinese Journal of Scientific Instrument, 35, 1489-1496(2014).
[16] Liu Z W. Research on underwater detection device for nuclear fuel assembly defects based on line structured light[D]. Shanghai: Donghua University, 17-21(2019).
Get Citation
Copy Citation Text
Kaiqiang Xian, Jingzhu Pang, Jun Hu. Surface Crack Size Detection in Nuclear Fuel Rods Based on Line Structured Light[J]. Laser & Optoelectronics Progress, 2020, 57(22): 221013
Category: Image Processing
Received: Mar. 3, 2020
Accepted: Apr. 17, 2020
Published Online: Nov. 12, 2020
The Author Email: Hu Jun (hujun@dhu.edu.cn)