Paper
10 January 2014 Automatic extraction of power lines by particle filtering from aerial images
Famao Ye, Fuyu Li, Shihong Hu
Author Affiliations +
Proceedings Volume 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013); 90691M (2014) https://doi.org/10.1117/12.2050044
Event: Fifth International Conference on Graphic and Image Processing, 2013, Hong Kong, China
Abstract
In this paper an approach based on particle filtering to automatic extract power lines from aerial images is presented. We integrate the similarity of grey value of power lines into particle filtering to track the points on power lines, and use those extracted points to fit the power line as a parabola. Moreover, a fully automatic initialization strategy is used. Experimental results show that the proposed approach is a promising and fully automatic method for extracting power lines from very complex background. This algorithm will play an important role in the exact 3D-reconstructions of power lines that can help the power grid company to ensure the safety of the power lines.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Famao Ye, Fuyu Li, and Shihong Hu "Automatic extraction of power lines by particle filtering from aerial images", Proc. SPIE 9069, Fifth International Conference on Graphic and Image Processing (ICGIP 2013), 90691M (10 January 2014); https://doi.org/10.1117/12.2050044
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Cited by 5 scholarly publications.
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KEYWORDS
Particles

Particle filters

Image filtering

Digital filtering

Error analysis

Feature extraction

Image processing

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