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基于图像处理的铁轨表面缺陷检测算法 被引量:23

Rail Surface Defects Detection Algorithm Based on Image Processing
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摘要 对铁路轨道表面缺陷进行检测是保证铁路运输安全的重要手段之一,该文采用计算机图像处理技术对铁路轨道表面的缺陷进行自动化检测,提出了轨道表面缺陷检测的系统设计方案,给出了一种利用图像灰度信息的快速、实时检测算法。实验验证了算法的有效性和高效性。 Detecting the rail surface defects is one of the important means to guarantee safe transportation. This paper adopts the image processing technique to detect the defects automatically. A detection system scheme is designed and the detection algorithm is studied with emphasis. It put forwards a rapid real-time detection algorithm based on the pixels brightness. Experiment verifies the validity and high efficiency of the algorithm.
出处 《计算机工程》 CAS CSCD 北大核心 2007年第11期236-238,共3页 Computer Engineering
关键词 轨道 表面缺陷 检测算法 实时 Rail Surface defect Detection algorithm Real time
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参考文献6

  • 1周清跃,周镇国.客运专线钢轨技术条件的研究及起草[C]//铁路客运专线建设技术交流会论文集.2005:91-95.
  • 2Zahran O,Alnuaimy W.Rail-track Inspection Using Time-of-flight Diffraction[M].Railway Engineering Press,2004.
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