Power lines extraction from aerial images based on Gabor filter

Chao Mu; Jie Yu; Yanming Feng; Jinhai Cai

doi:10.1117/12.838554

15 October 2009 Power lines extraction from aerial images based on Gabor filter

Chao Mu, Jie Yu, Yanming Feng, Jinhai Cai

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74923P (2009) https://doi.org/10.1117/12.838554
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

Abstract

With the development of aerial aircraft, it has been possible that using the small unmanned aerial vehicles (UAV) for power line corridors surveillance. In Queensland, Australia, the local electric power company used the small UAV loaded the ordinary digital camera for power line surveillance. In order to extract the power lines automatically from the cluttered natural background aerial images, we propose a power line detection method for a vision based on UAV surveillance system. A Gabor filter is developed to remove background noise from the images prior to the Hough transform being employed to detect straight lines. The experiment on real image data demonstrates that the proposed approach is effective.

Citation Download Citation

Chao Mu, Jie Yu, Yanming Feng, and Jinhai Cai "Power lines extraction from aerial images based on Gabor filter", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74923P (15 October 2009); https://doi.org/10.1117/12.838554

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