复杂背景下航拍图像的电力线自动提取算法

Automatic power line extraction algorithm for aerial image under complex background

无人机对电力线巡检的关键问题是如何从复杂背景的航拍图像中准确地提取电力线。本文提出了一种基于二维变分模态分解(2D-VMD)提取电力线的新算法。首先对原始航拍图像进行预处理,加快数据处理速度;然后采用2D-VMD算法对预处理后的图像进行分解,通过改进后的点锐度算法,选取带有电力线特征的IMF分量图,并利用Roberts算子进行边缘检测;最后利用形态学改进的Hough变换,完成对电力线的提取。试验结果表明,本文方法比传统的Canny算子结合Hough变换方法、LSD方法、Roberts算法结合形态学改进的Hough变换方法更具精确性、抗噪性、自动化。

The key problem of UAV power line inspection is how to accurately extract power lines from aerial images with complex background.This paper proposes a new algorithm for power line extraction based on two-dimensional variational mode decomposition(2D-VMD).Firstly,the original aerial image is preprocessed to speed up data processing.Secondly,2D-VMD algorithm is utilized to decompose the preprocessed image.The IMF component graph with power line features is selected by the improved point sharpness algorithm and edge detection is performed by Roberts operator.Finally,the power lines are extracted by morphological modification of Hough transform.Experimental results show that the proposed method is more accurate,noise resistant and automatic than the traditional Canny edge detection combined with Hough transform method,line segment detector(LSD)method,Roberts edge detection and morphological improved Hough transform method.