Publisher
Springer Nature Singapore
Reference8 articles.
1. R. Ran, X.H. Xu, S.H. Qiu, X.P. Cui, Y.B. Ou, A survey of crack detection methods based on deep convolutional neural network. Comput. Eng. Appl. 2021(3), 1–16 (2021)
2. L. Peng, W. Chao, L. Shuangmiao et al., Research on crack detection method of airport runway based on twice-threshold segmentation, in 2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC) (IEEE, Qinhuangdao, China, 2015), pp. 1716–1720
3. H. Xu, Y. Tian, S. Lin et al., Research of image segmentation algorithm applied to concrete bridge cracks, in 2013 IEEE Third International Conference on Information Science and Technology (ICIST) (IEEE. Jiangsu, China, 2013), pp. 1637–1640
4. A. Cubero-Fernandez, F.J. Rodriguez-Lozano, R. Villatoro et al., Efficient pavement crack detection and classification. EURASIP J. Image Video Process. 1, 1–11 (2017)
5. Y. Shi, L. Cui, Z. Qi et al., Automatic road crack detection using random structured forests. IEEE Trans. Intell. Transp. Syst. 17(12), 3434–3445 (2016)