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首页> 外文期刊>SAE international journal of transportation safety >Railway Fastener Positioning Method Based on Improved Census Transform
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Railway Fastener Positioning Method Based on Improved Census Transform

机译：基于改进人口普查变换的铁路紧固件定位方法

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摘要

In view of the fact that the current positioning methods of railway fasteners are easily affected by illumination intensity, bright spots, and shadows, a positioning method with relative grayscale invariance is proposed. The median filter is used to remove the noise in order to reduce the adverse effects on the subsequent processing results, and the baffle seat edge features are enhanced by improved Census transform. The mean-shift clustering algorithm is used to classify the edges to weaken the interference by short lines. Finally, the Hough transform is used to quickly extract the linear feature of the baffle seat edge and achieve the exact position of the fastener with the prior knowledge. Experimental results show that the proposed method can accurately locate and have good adaptability under different illumination conditions, and the position accuracy is increased by 4.3% and 8%, respectively, in sunny and rainy days.
机译：鉴于铁路紧固件的当前定位方法容易受照明强度，亮点和阴影的影响，提出了一种具有相对灰度不变性的定位方法。 中值滤波器用于去除噪声，以便降低对随后的处理结果的不利影响，并且通过改进的人口普查变换来增强挡板座位边缘特征。 平均移位聚类算法用于对边缘进行分类以削弱短线的干扰。 最后，霍夫变换用于快速提取挡板座椅边缘的线性特征，并通过现有知识实现紧固件的确切位置。 实验结果表明，该方法可以在不同的照明条件下准确定位并具有良好的适应性，并且在阳光明媚和下雨天内，位置精度分别增加了4.3％和8％。

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