Title :
Transmission line extraction method based on Hough transform
Author :
Dong Huiying ; Huang Tingting
Author_Institution :
Sch. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
The effective extraction of Transmission lines is a very important link in the process of UAV inspection. This paper firstly uses Sobel operator to detect the edge in the transmission lines image after pretreatment, and extracts transmission lines by the traditional Hough transform method. Then it puts forward two algorithms to extract transmission lines. They are the directional wavelet transform based on Hough transform method and the morphology based on Hough transform method. Finally, it compares the three methods on run time and extraction result. The results show that the two new methods based on Hough Transform not only accelerate system running, but also significantly improve the accuracy of transmission lines extraction.
Keywords :
Hough transforms; autonomous aerial vehicles; edge detection; feature extraction; power engineering computing; power transmission lines; wavelet transforms; Hough transform; Sobel operator; UAV inspection; directional wavelet transform; edge detection; transmission line extraction method; Image edge detection; Inspection; Morphology; Noise; Power transmission lines; Wavelet transforms; Hough transform; directional wavelet; morphology; pretreatment;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162800