Classification of pavement crack types based on square bounding box diagonal matching method

Author:

Qin Guofeng,Huang Linyu,Yang Shuo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference21 articles.

1. Sy NT, Avila M, Begot S, Bardet JC (2008) Detection of the defects in road surface by a vision system. In: The 14th IEEE mediterranean electrotechnical conference, pp 847–851

2. Amhaz R, Chambon S, Idier J, Baltazart V (2016) Automatic crack detection on two-dimensional pavement images: an algorithm based on minimal path selection. IEEE Trans Intell Transp Syst 17(10):2718–2729

3. Tang J, Gu Y (2013) Automatic crack detection and segmentation using a hybrid algorithm for road distress analysis. In: 2013 IEEE international conference on systems, man, and cybernetics, Manchester, pp 3026–3030

4. Chambon S (2011) Detection of points of interest for geodesic contours: application on road images for crack detection. In: VISAAP 2011-proceedings of the sixth international conference on computer vision theory and application, pp 210–213

5. Zhang J (2004) Study on pavement crack identification and evaluation technology based on digital image processing. Chang’an University, Xi’an

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