针对传统电气化铁路接触网检测在稳定性和准确性方面的不足，提出了以自动识别的杆号作为接触网杆定位和图像索引检测依据的接触网自动检测系统。该系统介绍了多帧图像杆号识别过程，比较了形状上下文（Shape context ，SC）算法、角点典型形状上下文特征（Corner representative shape con‐text ，CRSC）算法和重心形状上下文（Center shape context ，CSC）算法，确定了将CSC算法作为杆号识别的算法。实验结果表明，该算法具有实时性好、可靠性高等优点，能够满足时速300 km左右的接触网实时检测要求，为电气化铁路定位检测提供了一种稳定性好、检测速度快的方法。%As insufficient stability and accuracy of traditional electrified railway catenary detection ,a cate‐nary automatic detection system is proposed ,which has the ability to automatically identified rod num‐bers as the basis for catenary pole position and image index detection .Firstly ,the system introduces the process of multi‐frame rod number identification ,and then analyzes three most common feature extrac‐tion methods ,i .e .shape context(SC) ,corner representative shape context (CRSC) and center shape con‐text(CSC) .Finally ,the CSC algorithm is chosen to be integrated into the proposed system as the most effective method of rod number recognition .Experiments show that the proposed system achieves better recognition results in terms of real‐time performance and reliability than other method .Specifically ,the proposed system can run smoothly at about three hundred kilometers per hour and provide a practical method to detect the position of electrified railways .
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