计算机工程与应用2017，Vol.53Issue(9)：246-252,7.DOI:10.3778/j.issn.1002-8331.1511-0164
铁路钢轨光带异常检测系统
Inspection system for rail abnormal light band
摘要
Abstract
A detection algorithm of abnormal rail light band for rail inspection based on linear time complexity is proposed, with the analysis of the feature of abnormal rail light band structure using the image recognition technology. Firstly, the exact rail region is extracted by analyzing the weighted vertical projection of input images. Then the border of the rail light band is accurately located based on the analytic strategy of coarse-to-fine, with the feature of gray and local gradient of the rail light band. The inspection results, including the overall abnormal of the width, the center line deviation and local anomalous width, are determined based on empirical knowledge. The experiment results demonstrate the effectiveness and efficiency of the algorithm, and the inspection speed of detection can reach 220 km/h.关键词
钢轨/光带异常/检测Key words
rail/abnormal light band/inspection分类
信息技术与安全科学引用本文复制引用
李唯一,方玥,蒋曙光,杨超,韩强..铁路钢轨光带异常检测系统[J].计算机工程与应用,2017,53(9):246-252,7.基金项目
中国铁道科学研究院基金项目(No.2013YJ073,No.2014YJ052) （No.2013YJ073,No.2014YJ052）
中国铁路总公司科技研究开发计划课题(No.2015T003-A). （No.2015T003-A）
