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Study on the Calculation Method of Ice Thickness Calculation and Wire Extraction Based on Infrared Image

机译:基于红外图像的冰厚计算与导线提取计算方法研究

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In order to accurately measure the ice coating thickness on the ice-covered wire, the conventional ice-covering measurement method has complex operations and insufficient accuracy. This paper based on the infrared image of ice covered wire obtained by UAV and uses the image processing method to perform edge detection on the infrared image of the ice coating wire. The results show that Ratio operator detection results are superior to Canny operator and Steger operator. Then, the Hough change is performed on the image detected by the Ratio operator edge, and the exact position of the wire in the infrared image is extracted to prepare for the next calculation of the ice thickness. Finally, on the basis of the extracted infrared image, the calculation of the ice thickness on the ice-covered wire is converted into the solution of the image pixels. Then the image data is used to calculate the inclination of the overhead transmission line in the image, and the thickness of the ice coating is corrected. Finally.the results obtained by experiment show that the error between the calculation results of the ice coating thickness obtained by the pixel solution method and the thickness of the ice coating obtained by the numerical calculation is very small. Therefore, this method can accurately calculate the ice-covering thickness of the ice-covered wire and has a good application prospect in the wire ice covered field.
机译:为了准确地测量覆冰丝上的覆冰厚度,传统的覆冰测量方法操作复杂且精度不足。本文基于无人机获得的覆冰丝的红外图像,并利用图像处理方法对覆冰丝的红外图像进行边缘检测。结果表明,Ratio算子的检测结果优于Canny算子和Steger算子。然后,对由比率算子边缘检测到的图像进行霍夫变化,并提取红外线图像中导线的确切位置,为下一步冰厚度的计算做准备。最后,基于提取的红外图像,将在覆冰导线上的冰厚度的计算转换为图像像素的解。然后,将图像数据用于计算图像中架空传输线的倾斜度,并校正冰涂层的厚度。最后,通过实验获得的结果表明,通过像素解法获得的冰层厚度的计算结果与通过数值计算获得的冰层厚度的计算结果之间的误差很小。因此,该方法可以准确计算出覆冰丝的覆冰厚度,在导线覆冰领域具有良好的应用前景。

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