基于霍夫变换的导线异物悬挂检测方法研究

A Detection Method Based on Hough Transform for Foreign Object on Wire

本文以检测导线上的异物为研究目标,采用基于霍夫变换的导线异物悬挂检测方法,先对导线异物图像进行预处理并显著性检测突出异物区域,最后利用霍夫变换进行识别检测。实验结果表明,算法检测的准确率为95.00%,运行周期为10.971s,能够适用于输电导线异物检测上,并且有效地提高人工对输电导线异物检测的速度和精确度,为以后在导线异物检测方面的研究提供了很好的理论参考以及使用价值。

This paper takes the detection of foreign bodies on the wire as the research goal,adopts the detection method of foreign bodies hanging on the wire based on Hough transform,firstly preprocess the foreign body image of the wire,and then highlights the foreign body area through the saliency detection of the processed image,then recognizes and detects by Hough transform.The experimental results show that the detection accuracy of the algorithm is 95.00%,and the running cycle is 10.971s,which can be applied to the transmission line foreign body detection,and effectively improve the speed and accuracy of the manual detection of the transmission line foreign body.It provides a good theoretical reference and use value for the future research on the transmission line foreign body detection.