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Application of a brightness-adapted edge detector for real-time railroad tie detection in video images

机译:亮度自适应边缘检测器在视频图像实时铁轨检测中的应用

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Due to the increasing calculation power of dedicated hardware, real-time image processing becomes practicable at reasonable expense. Nevertheless the algorithms concerned have to be adapted to real-time requirements. The subject treated in this paper is tie detection for automated railway inspection. An edge detector is proposed in which the sensitivity is adaptable to the local brightness of the processed image. The required effort is the performance of a convolution operation with subsequent decision concerning the sign of the values obtained.
机译:由于专用硬件的计算能力不断提高,因此以合理的费用可以进行实时图像处理。尽管如此,相关算法必须适应实时要求。本文处理的主题是自动铁路检查的领带检测。提出了一种边缘检测器,其中灵敏度适于处理后的图像的局部亮度。所需的工作是执行卷积运算,并随后对获得的值的符号进行决策。

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