Railway track fastener defect detection based on image processing and deep learning techniques: A comparative study

Author:

Wei Xiukun,Yang Ziming,Liu Yuxin,Wei Dehua,Jia Limin,Li Yujie

Funder

National Key R&D Program of China

State Key Lab of Rail Traffic Control and Safety

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference45 articles.

1. VISUAL INSPECTION OF RAILROAD TRACKS;Babenko;Diss. Theses - Gradworks,2009

2. Berry, A., Nejikovsky, B., Gilbert, X., Tajaddini, A., 2008. High speed video inspection of joint bars using advanced image collection and processing techniques. In: Proc. of World Congress on Railway Research, vol. 290. pp. 619–622.

3. Latent dirichlet allocation;Blei;J. Mach. Learn. Res.,2003

4. Study of Sea-sky-line Detection Algorithm Based on Hough Transform;Bowen;Infrared Technol.,2015

5. BvSys. 2018. Railway inspection systems. URL http://www.bvsys.de/index.php/products_2/railway-inspection-systems_6/12-headcheck.

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