Composite real-time image processing for railways track profile measurement
Composite real-time image processing for railways track profile measurement
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DOI：
10.1109/19.850395
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发表时间：
2000-06-01
影响因子：
5.6
通讯作者：
Piuri, V
中科院分区：
文献类型：
--
作者：
Alippi, C;Casagrande, E;Piuri, V
检查铁路状态对于确保高运营安全性、适当的维护计划以及低维护和运营成本至关重要。该操作包括对轨道轮廓和水平以及整体几何形状和波动的分析。传统的检测系统基于与轨道接触的机械装置。创新方法基于激光扫描和图像分析。本文提出了一种有效的轨迹轮廓提取与实时图像处理的复合技术。通过算法预滤波来限制包含轨道轮廓的图像区域，从而获得高吞吐量，而通过轮廓本身的神经重建来实现高精度。
Checking railway status is critical to guarantee high operating safety, proper maintenance schedule, and low maintenance and operating costs. This operation consists of the analysis of the rail profile and level as well as overall geometry and ondulation, Traditional detection systems are based on mechanical devices in contact with the track. Innovative approaches are based on laser scanning and image analysis. This paper presents an efficient composite technique for track profile extraction with real-time image processing. High throughput is obtained by algorithmic prefiltering to restrict the image area containing the track profile, while high accuracy is achieved by neural reconstruction of the profile itself.