Weld Defect Images Classification with VGG16-Based Neural Network
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Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-10-8108-8_20
Reference14 articles.
1. EN ISO 6520–1. Welding and allied processes-classification of geometric imperfections in metallic materials-Part 1: Fusion welding (2007)
2. Tong, T., Cai, Y., Sun, D.: Defects detection of weld image based on mathematical morphology and thresholding segmentation. In: 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), pp. 1–4. IEEE (2012)
3. Hassan, J., Awan, A.M., Jalil, A.: Welding defect detection and classification using geometric features. In: 2012 10th International Conference on Frontiers of Information Technology (FIT), pp. 139–144. IEEE (2012)
4. Wang, Y., Guo, H.: Weld defect detection of X-ray images based on support vector machine. IETE Tech. Rev. 31(2), 137–142 (2014)
5. Shao, J., Shi, H., Du, D., Wang, L., Cao, H.: Automatic weld defect detection in real-time X-ray images based on support vector machine. In: 2011 4th International Congress on Image and Signal Processing (CISP), vol. 4, pp. 1842–1846. IEEE (2011)
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