Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
