Abstract
The image processing technique is an essential way to ensure an accurate infrared detection of faulty insulators. In this paper, we analyze the necessity of images processing techniques in infrared detection of faulty insulators, research the related image processing techniques applied in infrared detection of faulty insulators and provide the corresponding practical examples. The work have done in this paper can make a contribution to the application of image processing techniques in infrared detection of faulty insulators.
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References
Min, D.: Reliability appraisal of insulators for extra high voltage transmission line. Power System Technology 23, 40–41 (1995)
Yi, H.: Operating Current Situation and Prospect of Insulator for Transmission Line in China. Electrical Equipment 6, 1–4 (2005)
Chen, Y., Cai, K., Liu, Y.: The infrared diagnosing technology of power supply equipment, pp. 6–9. China Water Power Press (2006)
Zhang, Y., Yu, F.: Brief Introduction of Examining Procelain Insulator’s Op-eration Status by Using the Infrared Thermal Image Technology. Qinghai Electric Power 22, 40–43 (2003)
Chen, H., Chen, Y., Zhao, X., et al.: Application of Infrared Temperature Mea-surement Technology in Detection of Composite Insulator. Electrical Equipment 7, 42–43 (2006)
Zhang, Q., Liu, H., Huang, X., et al.: An expert system for infrared fault diagnosis of power transformer. Power System Technology 26, 18–21 (2002)
Zhu, J., Wang, Y., Cui, S., et al.: The Application of Infrared Diagno-sis Technology in Diagnosis of the High Voltage Electrical Equipment Internal Defect. High Voltage Engineering 30, 34–36 (2004)
Hu, S., Shen, X.: An infrared diagnostics example of internal moistened arrester. Power System Technology 20, 43–44 (1996)
Tian, Y.: Infrared detection and diagnosis technology, pp. 144–146. Chemical Industry Press (2006)
Xu, N., Bian, N.: The infrared radiation and guidance, pp. 206–211. National Defense Industry Press (1997)
Liu, Z., Li, Z.: A Review on Image Process Technique of Thermal Imager. Infrared Technology 2, 27–32 (2000)
Song, Y., Shao, X., Xu, J.: New enhancement algorithm for infrared image based on double plateaus histogram. Infrared and Laser Engineering 37, 308–311 (2008)
Guan, X., Zhao, L., Tang, Y.: Mixed Filter for Image Denoising. Journal of Image and Graphics 10, 332–337 (2005)
Zhang, X., Xu, B., Dong, S.: Adaptive switching median filter for the removal of impulse noise. Opto-Electronic Engineering 33, 78–83 (2005)
Jin, L., Xiong, C., Li, D.: Adaptive center-weighted median filter. Journal of Huazhong University of Science and Technology (Nature Science Edition) 36, 9–12 (2008)
Yao, M.: Digital image processing, pp. 225–262. China Machine Press (2006)
Tang, X., Zhang, X., Zou, H.: Improvement of the maximum entropy image segmentation method. Computer Engineering and Applications 48, 216–219 (2012)
Xiong, Z., Xiao, G., Qiu, K.: Watershed algorithm based on adaptive marker extraction and energy equation. Computer Engineering and Applications 48, 186–189 (2012)
Yu, S., Zhou, Y., Zhang, R.: Digital image processing, pp. 307–309. Profile of Shanghai Jiao Tong University Press (2007)
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Wu, Y., Yao, J., Li, T., Fu, P., Liao, W., Zhang, M. (2014). Application of Image Processing Techniques in Infrared Detection of Faulty Insulators. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_20
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DOI: https://doi.org/10.1007/978-3-662-45643-9_20
Publisher Name: Springer, Berlin, Heidelberg
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