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首页> 外文会议>Computers in Railways X: Computer System Design and Operation in the Railway and other Transit Systems; WIT Transactions on Built Environment; vol.88 >Potential dangerous object detection on railway ballast using digital image processing
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Potential dangerous object detection on railway ballast using digital image processing

机译：使用数字图像处理的铁路道ast潜在危险物检测

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摘要

The correct assessment of the condition of a railroad requires the consideration of different factors. Some factors, such as the condition of the ties, can be measured by inspecting features visible from the surface of the railway. Other factors include the condition of the ballast; it is important to recognize the critical situation in which any foreign object can be present on the ballast. These kinds of objects could be cans, pieces of sheet and everything over a well determined dimension. Extensive human resources are currently applied to the problem of evaluating railroad health. The proposed visual inspection system uses images acquired from a digital line scan camera installed under a train. Here we focus on the problem of foreign object detection in the railway maintenance context. To obtain this aim we train a Multilayer Perceptron Network (MLPN) with the edge histogram of the ballast patches manually extracted from the acquired digital image sequence. The general performances of the system, in terms of speed and detection rate, are mainly influenced by the adopted features for representing images and by their number. By this inspection system it is possible to aid the personnel in railway safety issues because a high detection rate percentage has been obtained. We show the adopted techniques by using images acquired in real experimental conditions.
机译：对铁路状况的正确评估需要考虑不同的因素。可以通过检查从铁路表面可见的特征来测量某些因素，例如枕木的状况。其他因素包括镇流器的状况；重要的是要认识到压载物上可能存在任何异物的危急情况。这些对象可以是罐头，薄片或确定尺寸范围内的所有物品。当前，大量的人力资源被用于评估铁路健康的问题。拟议的视觉检查系统使用从安装在火车下方的数字线扫描相机获取的图像。在这里，我们重点研究铁路维护环境中的异物检测问题。为了达到这个目的，我们训练了一个多层感知器网络（MLPN），该多层感知器网络具有从采集的数字图像序列中手动提取的镇流器补丁的边缘直方图。在速度和检测率方面，系统的一般性能主要受所采用的表示图像的功能及其数量影响。通过这种检查系统，由于获得了很高的检出率，因此可以在铁路安全问题上帮助人员。我们通过使用在实际实验条件下获得的图像来展示所采用的技术。

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