Qinyi Xu
ABSTRACT
Detection of transmission line is an important and challenging topic in low altitude flight. Different from the traditional transmission line detection method, in which the transmission line is detected based on the straight line, in order to extract the transmission line more completely, this paper proposes a new algorithm of transmission curve detection based on the morphological relation of finite element under the sky background. In the process of image processing, firstly, the whole sky background is extracted, and the line segment of the image under the sky background is extracted. Secondly, in the detection process, according to the idea of finite element, multiple groups of transmission line targets with certain curvature changes are regarded as composed of multiple groups of local line segment pairs. Using the morphological characteristics of the finite element line segment pairs of transmission line, different from other linear targets, line segment screening is carried out to remove the interference of pseudo linear targets. Finally, the finite element line pairs with obvious collinear characteristics are connected by collinear conditions to get the complete extracted transmission line. The experimental results show that this algorithm can detect the transmission line in the field of view and extract them completely.
- T. G. McGee, R. Sengupta and K. Hedrick, "Obstacle detection for small autonomous aircraft using sky segmentation," in IEEE International Conference on Robotics and Automation, pp. 4679--4684, 2005.Google Scholar
- R. Kasturi, O. I. Camps, Y. Huang, A. Narasimhamurthy and N. Pande, "Wire detection algorithms for navigation," NASA Technical Report, 2002.Google Scholar
- L. Fu and S. Lu, "Obstacle detection algorithms for aviation," in IEEE International Conference on Computer Science and Automation Engineering (CSAE), vol. 4, pp. 710--714, 2011.Google Scholar
- J. Candamo and D. Goldgof, "Wire detection in low-altitude, urban, and low-quality video frames," in 19th International Conference on Pattern Recognition, pp. 1--4, 2008.Google Scholar
- J. Candamo, R. Kasturi, D. Goldgof and S. Sarkar, "Detection of Thin Lines using Low-Quality Video from Low-Altitude Aircraft in Urban Settings," IEEE Transactions on Aerospace and Electronic Systems, vol. 45, no. 3, pp. 937--949, July 2009.Google ScholarCross Ref
- J. Candamo, D. Goldgof, R. Kasturi and S. Godavarthy, "Detecting Wires in Cluttered Urban Scenes Using a Gaussian Model," in 20th International Conference on Pattern Recognition, pp. 432--435, 2010.Google Scholar
- M. Savan and D. N. Barr, " Reflectance of wires and cables at 10.6 micrometer," Center for Night Vision and Electro-Optics, MSEL-NVTR-0063, 1988.Google Scholar
- K. Yamamoto and K.Yamada, "Analysis of the infrared images to detect power lines," in IEEE Conference on Speech and Image Technologies for Computing and Telecommunications, vol. 1, pp. 343--346, 1997.Google Scholar
- A. Kumar, "RCS measurements detect power lines," Microwaves & Rf, vol. 43, no. 3, pp. 82--90, 2004,Google Scholar
- P. Campoy, P. J. Garcia, A. Barrientos, et al. "An Stereoscopic Vision System Guiding an Autonomous Helicopter for Overhead Power Cable Inspection," Robot Vision (Lecture Notes in Computer Science), vol.1998. pp. 115--124, 2001.Google ScholarCross Ref
- I. Golightly and D. Jones, "Visual control of an unmanned aerial vehicle for power line inspection," in 12th International Conference on Advanced Robotics, pp. 288--295, 2005.Google Scholar
- D. Jones, I. Golightly, J. Roberts and K. Usher, "Modeling and control of a robotic power line inspection vehicle," in IEEE Conference on Computer Aided Control System Design, pp. 632--637, 2006.Google Scholar
- R. Grompone von Gioi, J. Jakubowicz, J. Morel and G. Randall, "LSD: A Fast Line Segment Detector with a False Detection Control," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, no. 4, pp. 722--732, April 2010.Google ScholarDigital Library
- S. M. Li, G. Q. Han. "Method of image region segmentation based on K-means clustering algorithm," Computer engineering and applications, vol. 44, no. 16, pp. 163--167, 2008.Google Scholar
- J. Zhang, H. Shan, X. Cao, P. Yan and X. Li, "Pylon line spatial correlation assisted transmission line detection," IEEE Transactions on Aerospace and Electronic Systems, vol. 50, no. 4, pp. 2890--2905, October 2014.Google ScholarCross Ref
Index Terms
- Image-based Transmission Line Detection on Finite Element Line Segments
Recommendations
Approximability of covering cells with line segments
AbstractKorman et al. [18] studied the following geometric covering problem: given a set S of n line segments in the plane, find a minimum number of line segments such that every cell in the arrangement of the line segments is covered. Here, a ...
A Metric for Line Segments
This correspondence presents a metric for describing line segments. This metric measures how well two line segments can be replaced by a single longer one. This depends for example on collinearity and nearness of the line segments. The metric is ...
Comments