基于多激光线的钢轨表面缺陷在线检测方法

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

  • 摘要: 用多激光线代替单激光线应用于钢轨表面缺陷在线检测,解决了单激光线模式下由于钢轨跳动造成"伪缺陷"的问题.对相机采集到的多激光线单幅图像进行了中心线提取、差值算法检测、缺陷判别及缺陷图像拼接等处理,实现了缺陷的在线检测,并获得缺陷的完整区域图像.该方法利用多激光线单幅图像光带间的互相关和自相关深度信息提取图像的特征区域进行检测,避免了单激光线模式的深度拼接步骤,从根本上解决了由于钢轨跳动造成的"误检"问题.该方法已经在线应用于钢轨轨底的表面缺陷检测,相对于单激光线检测具有更高的准确率.

     

    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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