1. Ho, S. K., White, R. M., and Lucas, J., “A Vision System for Automated Crack Detection in Welds,” Measurement Science and Technology, Vol. 1, No. 3, pp. 287, 1990.
2. Liao, T. W., “Fuzzy Reasoning based automatic Inspection of Radiographic Welds: Weld Recognition,” Journal of Intelligent Manufacturing, Vol. 15, No. 1, pp. 69–85, 2004.
3. Xiao-Guang, Z., Jian-Jian, X., and Yu, L., “The Research of Defect Recognition for Radiographic Weld Image based on Fuzzy Neural Network,” Proc. of 5th World Congress on Intelligent Control and Automation, Vol. 3, pp. 2661–2665, 2004.
4. Predoi, M. V., Petre, C. C., Rousseau, M., and de Billy, M., “Ultrasonic Inspection of Defects in Welded Plates and Tubes,” Proc. of IEEE Ultrasonics Symposium, Vol. 1, pp. 845–848, 1997.
5. Guangzhi, D., Tiequn, C., and Jiaxiang, X., “Research on Image Resolution in Ultrasonic Imaging Inspection of Welding Defect,” Proc. of International Conference on Electronic Measurement and Instruments, pp. 965–968, 2007.