Automatic Extraction of Power Lines from Aerial Images Based on Hough Transform

Liang Liu, Wanguo Wang, Jun Yong, Jie Ren

Abstract


With continuous long-range transmission of high voltage, routing inspection and fault diagnosis of power lines are becoming more and more difficult, and then the automatic routing inspection of power lines based on aerial images emerges. Therefore, this paper proposes a method for automatic extraction of power lines based on the improved morphological algorithm and aerial images based on Hough transform in a complex natural background, that is, to first use Wiener filter algorithm to restore high-altitude aerial images and Gaussian filter to de-noise images to complete the image preprocessing. On this basis, this paper proposes an improved morphological operator for the edge detection of power lines. Then, this paper implements automatic identification and extraction of power lines based on Hough transform.

Keywords


Power lines; Wiener filter; morphological algorithm; Hough transform


DOI
10.12783/dtetr/emme2016/9802

Refbacks

  • There are currently no refbacks.