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28 October 2010 Extraction of power lines from aerial images based on Hough transform
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The extraction of power lines from aerial images and the distinguishing of them are of great significance to locate the points of the faults on power lines and to diagnose the components equipped on power lines. To solve the two problems, an algorithm composed of three steps is proposed as follows. Firstly, the edges of power lines are extracted by SWIFTS algorithm1, which is developed on the basis of the differentiation of Dissimilarity between power line and background. Secondly, to detect power lines, Hough transform (HT) is employed by taking advantage of its insensitive to noise. Lastly, a clustering algorithm based on Nearest Neighborhood (NN) is adopted to distinguish power lines. Experiments and analysis demonstrate that the proposed algorithm could effectively extract and distinguish power lines from aerial images.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qinggang Wu, Jubai An, and Rongrong Yang "Extraction of power lines from aerial images based on Hough transform", Proc. SPIE 7862, Earth Observing Missions and Sensors: Development, Implementation, and Characterization, 78620Q (28 October 2010);


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