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首页> 外文期刊>Journal of Computer and Communications >An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection
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An Application of Canny Edge Detection Algorithm to Rail Thermal Image Fault Detection

机译：Canny边缘检测算法在轨道热图像故障检测中的应用

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The paper discusses an application for rail track thermal image fault detection. In order to get better results from the Canny edge detection algorithm, the image needs to be processed in advance. The histogram equalization method is proposed to enhance the contrast of the image. Since a thermal image contains multiple parallel rail tracks, an algorithm has been developed to locate and separate the tracks that we are interested in. This is accomplished by applying the least squares linear fitting technique to represent the surface of a track. The performance of the application is evaluated by using a number of images provided by a specialised company and the results are essentially favourable.
机译：本文讨论了一种在轨道热图像故障检测中的应用。为了从Canny边缘检测算法中获得更好的结果，需要预先处理图像。提出了直方图均衡方法以增强图像的对比度。由于热图像包含多个平行的轨道，因此已经开发出一种算法来定位和分离我们感兴趣的轨道。这是通过应用最小二乘线性拟合技术来表示轨道表面来实现的。通过使用专业公司提供的大量图像来评估应用程序的性能，其结果基本上是令人满意的。

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