An Efficient Image-Based Method for Detection of Fastener on Railway

Abstract:

This paper presents an efficient method to detect the fastener based on the technologies of image processing and optical detection. As feature descriptor, the Direction Field of fastener image is computed for template matching. This fastener detection method can be used to determine the status of fastener on the corresponding track, i.e., whether the fastener is on the track or missing. Experimental results are presented to show that the proposed method is computation efficiency and is robust for fastener detection in complex environment.

• Periodical: Advanced Materials Research (Volume 346)
• Pages: 731-737
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.346.731
• Online since: September 2011
• Authors: Jin Feng Yang, Man Hua Liu, Hui Zhao, Wei Tao
• Keywords: Direction Field (DF), Fastener Recognition, Laser Triangulation, Pattern Matching

References

[1] Sawadisavi, S., J. Edwards, E. Resendiz, J.M. Hart, C.P. L Barkan, and N. Ahuja, Machine-Vision Inspection of Railroad Track, Proceedings of the TRB 88th Annual Meeting, Washington, DC, January 2009. pp.1-19.

[2] Tsunashima, H., T. Kojima, et al, Condition monitoring of railway track and driver using in-service vehicle, Railway Condition Monitoring, 2008 4th IET International Conference, pp.507-511.

DOI: 10.1049/ic:20080320

[3] Lin, J., S. Luo, et al, Real-time rail head surface defect detection: A geometrical approach, Industrial Electronics, July 2009, IEEE International Symposium, pp.769-774.

DOI: 10.1109/isie.2009.5214088

[4] Toliyat, H. A., K. Abbaszadeh, et al, Rail defect diagnosis using wavelet packet decomposition, Industry Applications, Sept. -Oct. 2003 IEEE Transactions, vol. 39, no. 5, pp.1454-1461.

DOI: 10.1109/tia.2003.816474

[5] Hsieh,H. -Y., N. Chen, et al, Visual Recognition System of Elastic Rail Clips for Mass Rapid Transit Systems, ASME Conference Proceedings 2007(4787X), pp.319-325.

DOI: 10.1115/jrc/ice2007-40080

[6] Stella, E., P. Mazzeo, et al, Visual recognition of missing fastening elements for railroad maintenance, Intelligent Transportation Systems, 2002 Proceedings, The IEEE 5th International Conference, pp.94-99.

DOI: 10.1109/itsc.2002.1041195

[7] Marino, F., A. Distante, et al, A Real-Time Visual Inspection System for Railway Maintenance: Automatic Hexagonal-Headed Bolts Detection, Systems, Man, and Cybernetics, Part C: Applications and Reviews, 2007 IEEE Transactions, vol. 37, no. 3, pp.418-428.

DOI: 10.1109/tsmcc.2007.893278

[8] Veltkamp, R. C., Shape matching: similarity measures and algorithms, Shape Modeling and Applications, SMI 2001 International Conference, pp.188-197.

DOI: 10.1109/sma.2001.923389

[9] Veltkamp, R. C. and M. Hagedoorn, State of the art in shape matching, Principles of Visual Information Retrieval, 2001, pp.87-119.

DOI: 10.1007/978-1-4471-3702-3_4

[10] Rao, A. R. and B. G. Schunck, Computing oriented texture fields, Computer Vision and Pattern Recognition, 1989, IEEE Computer Society Conference, pp.61-68.

DOI: 10.1109/cvpr.1989.37829

[11] Belongie, S., J. Malik, et al, Shape matching and object recognition using shape contexts, Pattern Analysis and Machine Intelligence, 2002, IEEE Transactions, vol. 24, no. 4, pp.509-522.

DOI: 10.1109/34.993558