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基于多激光線的鋼軌表面缺陷在線檢測方法

On-linesurface defect detection for steel rails based on multi-line lasers

  • 摘要: 用多激光線代替單激光線應用于鋼軌表面缺陷在線檢測,解決了單激光線模式下由于鋼軌跳動造成"偽缺陷"的問題.對相機采集到的多激光線單幅圖像進行了中心線提取、差值算法檢測、缺陷判別及缺陷圖像拼接等處理,實現了缺陷的在線檢測,并獲得缺陷的完整區域圖像.該方法利用多激光線單幅圖像光帶間的互相關和自相關深度信息提取圖像的特征區域進行檢測,避免了單激光線模式的深度拼接步驟,從根本上解決了由于鋼軌跳動造成的"誤檢"問題.該方法已經在線應用于鋼軌軌底的表面缺陷檢測,相對于單激光線檢測具有更高的準確率.

     

    Abstract: Multi-line lasers were applied to the on-line defect detection for steel rails instead of single-line laser,which solved the problem of "pseudo defects" due to the vibration of rails under the mode of single-line laser. Images of multi-line lasers captured by camera were processed to realize the online detection and the accurate defect feature area was acquired with steps of the extraction of strip centers,detection of difference algorithm,discrimination between real and pseudo defects,image mosaic,etc. Images of the defect area were extracted by the cross-correlation and self-correlation information of laser curves,and there was no need for the step of depth mapping under the single-line mode,so the problem of "fault detection" caused by the vibration of rails was solved fundamentally. The technique is applied to on-line detection of defects for the bottom side of steel rails,and the detection rate is much higher than manual detection.

     

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