References
- Adu-Gyamfi, Y. O., Okine, N. A., Garateguy, G., Carrillo, R. and Arce, G. R. Multiresolution information mining for pavement crack image analysis. J. Comput. Civil Eng., 2014, 26, (6), 741–749. doi: 10.1061/(ASCE)CP.1943-5487.0000178
- Fujita, Y. and Hamamoto, Y. A robust automatic crack detection method from noisy concrete surfaces. Mach. Vision Appl., 2011, 22, (2), 245–254. doi: 10.1007/s00138-009-0244-5
- Hassan, M., Man, S.-H., Ng, C. Z., Bermak, A. and Chang, C.-C. Development of energy harvested wireless sensing node for structural health monitoring. 18th Int. ‘Mixed-signals, sensors and systems test workshop (IMS3TW)’, Vol. 18, Taipei, Taiwan, 2012, pp. 22–27.
- Yamaguchi, T. and Hashimoto, S. Image processing based on percolation model. IEICE Trans. Inf. Syst., 2006, E89-D, (7), 2044–2052. doi: 10.1093/ietisy/e89-d.7.2044
- Yamaguchi, T. and Hashimoto, S. Automated crack detection for concrete surface image using percolation model and edge information. 32nd Annual Conf. on ‘IEEE industrial electronics, IECON 2006’, Paris, France, 2006, pp. 3355–3360.
- Yamaguchi, T. and Hashimoto, S. Improved percolation-based method for crack detection in concrete surface images. 19th Int. Conf. on ‘Pattern recognition, ICPR 2008’, Tampa, FL, 2008, pp. 1–4.
- Yamaguchi, T., Nakamura, S., Saegusa, R. and Hashimoto, H. Image-based crack detection for real concrete surfaces. IEEJ Trans. Electr. Electron. Eng., 2008, 3, (1), 128–135. doi: 10.1002/tee.20244
- Yamaguchi, T. and Hashimoto, S. Fast crack detection method for large-size concrete surface images using percolation-based image processing. Mach. Vision Appl., 2010, 21, (5), 797–809. doi: 10.1007/s00138-009-0189-8
- Qu, Z., Lin, L.-D., Guo, Y. and Wang, N. An improved algorithm for image crack detection based on percolation model. IEEJ Trans. Electr. Electron. Eng., 2015, 10, (2), 214–221. doi: 10.1002/tee.22056
- Viswanathan, G. K., Murugesan, A. and Nallaperumal, K. et al.: A parallel thinning algorithm for contour extraction and medial axis transform. Int. conf. on ‘Emerging trends in computing, communication & nanotechnology’, Tirunelveli, India, 2013, pp. 606–610.
- Wang, Y. and Cui, Y. Skeleton blur removing algorithm based on direction chain code. J. Comput. Appl., 2013, 33, (1), 193–194.
- Kabir, S., Azad, T. and Alam, A. S. M. A. Freeman chain code with digits of unequal cost, Software. 8th Int. Conf. on ‘Software, knowledge, information management and applications (SKIMA)’, Dhaka, Bangladesh, 2014, pp. 1–6.