背景复杂下航拍图像的电力线识别算法

如何从具有复杂背景的无人机航拍图像中完整准确地识别出电力线已成为电力线无人巡检的关键问题之一。本文通过分析航拍图像中电力线的特征，提出了一种复杂背景下电力线检测和识别的新算法。首先对原始图像进行直方图均衡化处理，改善图像的对比度；然后使用由LoG算子改进的边缘绘图-参数自由（EDPF）算法对航拍图像进行边缘检测，滤除背景噪声，并检测出电力线边缘；最后利用Radon变换和先验知识完整提取出图像中的电力线。试验结果表明，本文方法比传统的Canny算子与Hough变换的结合方法、LSD算法的识别准确率更高，识别效果更完整，稳健性更好。

Power line identification algorithm for aerial image in complex background

How to completely and accurately identify the power line from the aerial image of the drone with complex background has become one of the key issues for the unmanned inspection of the power line. After analyzing the characteristics of the power line in the aerial image, a new algorithm of power line detection and identification in complex backgrounds is proposed. Firstly, the original image is histogram equalized to improve the contrast ratio. Then, the edge image is detected by the EDPF algorithm improved by the LoG operator, with the background noise filtered out and the power line edge detected. Finally, the power lines in the image are completely extracted using the Radon transform and prior knowledge. The experimental results show that the proposed method has higher recognition accuracy, more complete recognition effect and better robustness compared with the traditional Canny operator and Hough transform and the LSD algorithm.