1. Badrinarayanan, V., Handa, A., Cipolla, R.: Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling. arXiv preprint
arXiv:1505.07293
(2015)
2. Bai, X., Zhou, F., Xue, B.: Multiple linear feature detection based on multiple-structuring-element center-surround top-hat transform. Appl. Opt. 51(21), 5201–5211 (2012)
3. Billah, U.H., La, H.M., Tavakkoli, A., Gucunski, N.: Classification of concrete crack using deep residual network. In: 9th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-9), pp. 1–6, August 2019
4. Bray, J., Verma, B., Li, X., He, W.: A neural network based technique for automatic classification of road cracks. In: 2006 International Joint Conference on Neural Networks, IJCNN 2006, pp. 907–912. IEEE (2006)
5. Cha, Y.J., Choi, W., Büyüköztürk, O.: Deep learning-based crack damage detection using convolutional neural networks. Comput. Aided Civil Infrastruct. Eng. 32(5), 361–378 (2017)