• 查询稿件
  • 获取最新论文
  • 知晓行业信息

图像处理技术在轨道平顺度检测中的应用研究

Application of image processing technology in detection of track flatness and smoothness

  • 摘要: 对呼和浩特铁路局工务段各工区现有轨道长波不平顺激光检测仪进行研究。由于其工作时检测数据是靠人工来读取投射到激光靶面上的激光光斑位置,很难保证数据的准确性,而且在读取数据时,高亮的激光光斑会对人眼造成一定的伤害。由此本文提出,利用工业相机对激光靶面上的激光光斑图像进行采集,利用图像处理技术对采集到的光斑图像进行逻辑运算处理并进行轮廓提取,再运用椭圆拟合算法对处理后的光斑图像进行椭圆拟合,最后提取出拟合出椭圆参数的中心坐标就是检测的激光光斑中心坐标。以此方法来代替人工读数,从而减小人工读取坐标数据带来的误差并减少高亮光斑对人眼的伤害。

     

    Abstract: This article studied on the track long wave irregularity laser detector for the work sections of maintenance of way depot in Hohhot Railway Administration. As the detector operated, the detected data were read by hand to locate the laser spot projected on the laser target surface, it was difficult to ensure the accuracy of the data. Moreover, when reading the data, the bright laser spot would do some harm to the human eye. In this article, an industrial camera was used to collect the laser spot images on the laser target surface. Using the image processing technology, the collected spot image was processed logically and the contour was extracted. Ellipse fitting of the spot image was processed by ellipse fitting algorithm. The central coordinate of the ellipse parameter was extracted, which was the coordinates of the detected laser spot center. This method could be used instead of manual reading. Thus, the error caused by manual reading of coordinate data was reduced, and the harm of the highlight spot to the human eye was reduced.

     

/

返回文章
返回