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Application of Image Analysis Based on Canny Operator Edge Detection Algorithm in Measuring Railway Out-Of-Gauge Goods

机译:基于罐头运营商边缘检测算法的图像分析在测量铁路输出货物中的应用

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In order to guarantee out-of-gauge freight transport safety, it is necessary to study digital measurement to improve measuring accuracy for out-of-gauge goods which is very difficult to master outline dimension. The process of edge detection and the algorithm of canny operator edge detection were introduced in this paper. Taking the transformer for example, contour extraction was carried out on the end and the widths of transverse and longitudinal height are measured through the mathematical software MATLAB. Finally, measurement results are validated based on the known data. The results showed that canny operator has high calculate precision, and the closer to the part calibrated with pixel calibration, smaller the measurement errors are.
机译:为了保证衡量标准运输安全性,有必要研究数字测量,以提高衡量标的商品的测量精度,这非常难以掌握轮廓尺寸。 本文介绍了边缘检测过程和罐头操作员边缘检测的算法。 以变压器为例,在末端进行轮廓提取,通过数学软件MATLAB测量横向和纵向高度的宽度。 最后,基于已知数据验证了测量结果。 结果表明,罐头运算符具有高计算精度,并且较近校准像素校准的部分,测量误差越小。

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