Research on Detection Algorithm for Rail Fastener Based on Computer Vision
Xin Liu, Hongbin Wang, Bin Zhou · Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018) · 2018
The traditional rail detection method cannot meet the demand of line repair, so a detection algorithm for rail fastener based on computer vision is proposed, which combines projection method and scanning of pixels in specific region to position the position of fastener, and adopts gray-scale features and HOG features to describe feature vector of fastener, then uses Chi square distance classifier to extract features.The experimental result shows the algorithm is effective and feasible to a certain extent.