Abstract
The detection of high-voltage transmission lines was one of the important part of Smart Grid.The image was acquired by the industrial cameras set up on a high-voltage transmission line towers.The algorithm was proposed based on improved Randomized Hough Transform (RHT).According to the particularity of the collected images, image enhancement,filtering and edge detection preprocessing was needed before detection.And,cause of the linear characteristics of the high voltage transmission lines and angle characteristics,we used improved RHT combined with the angle to complete transmission line detection. Compared with traditional Hough Transform, the algorithm could save testing time,improve the detection accuracy, laid the foundation for real-time detection.Through processing pictures, it was well improved that the algorithm can detect the high-voltage transmission lines effectively.
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References
Tong, W.-G., Li, B.-S., Yuan, J.-S., Zhao, S.-T.: Transmission line extraction and recognition from natural complex background. In: Proceedings of the International Conference on Machine Learning and Cybernetics, pp. 473–477 (2009)
Zhu, Y.: Icing Detection of Transmission Lines Based on Image-Processing Technology. Southern Power System Technology, 106–110 (2010)
Lu, J., Luo, J., Zhang, H., Li, B., Li, F.: An image recognition algorithm based on thickness of ice cover of transmission line. In: Proceeding of 2011 International Conference on Image Analysis and Signal Processing, IASP 2011, pp. 210–213 (2011)
Hough, P.V.C.: A method and means for recognizing complex patterns. US Patent, vol. 3,069,654 (1962)
Xu, L., Oja, E.: Randomized Hough Transform (RHT): Basic Mechanisms, Algorithms, and Computational Complexities. Image Understanding, 131–153 (March 1993)
Xu, L., Oja, E., Kultanen, P.: A new curve detection method: Randomized Hough Transform (RHT). Pattern Recognition Letters, 31-338 (May 1990)
Lehmann, A., Leibe, B., Van Gool, L.: Fast PRISM: Branch and Bound Hough Transform for Object Class Detection, pp. 175–197 (2009)
Duan, D., Xie, M., Mo, Q., Han, Z., Wan, Y.: An improved Hough transform for line detection. In: Proceedings of the International Conference on Computer Application and System Modeling, ICCASM 2010, pp. 354–357 (2010)
Singh, M., Panigrahi, B.K., Maheshwari, R.P.: Transmission line of fault detection and classification. Emerging Trends in Electrical and Computer Technology (ICETECT), 15–20 (2011)
Han, J., Li, E., Tao, B., Lv, M.: Reading recognition method of analog measuring instruments based on improved hough transform. In: IEEE 201110th International Conference on Electronic Measurement and Instruments, ICEMI 2011, pp. 337–340 (2011)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. (January 2010)
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Li, F., Shui, Y., Liu, L., Guo, Z. (2012). The Application of Improved RHT in High-voltage Transmission Lines Detection. In: Li, Z., Li, X., Liu, Y., Cai, Z. (eds) Computational Intelligence and Intelligent Systems. ISICA 2012. Communications in Computer and Information Science, vol 316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34289-9_61
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DOI: https://doi.org/10.1007/978-3-642-34289-9_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34288-2
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