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Proceedings of the 2015 International Conference on Electronic Science and Automation Control
Railway fastener detection is an important task in railway maintenance to ensure safety. However, the earlier detection methods based on computer vision have good performance on missing fasteners, but they have weaker ability to recognize the partially worn ones. In this paper, we exploit the axis-symmetrical structure to generate the first and second symmetry sample of original testing fastener image, and integrate the first and second image for improved representation-based fastenerdoi:10.2991/esac-15.2015.69 fatcat:ffgm4u3zknh4hn6sm2z2bt4hom