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A new method for SF6 gas leakage detection

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5 Author(s)
Tu Zhengzheng ; Sch. of Comput. Sci. & Technol., Anhui Univ., Hefei, China ; Luo Bin ; Shi Yongjian ; Fu Qing
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For the defect of manual detection of Sulfur hexafluoride(SF6) gas leakage in laser imaging video, this paper proposes an efficient and automatic gas leakage detection method. Firstly, global motion estimation and compensation are performed in laser imaging video, secondly, accumulative frame-difference and an improved high-order statistics(HOS) algorithm are used to detect leakage area, finally, the leakage area is located in laser imaging video. The experimental results show that the proposed method can detect SF6 gas leakage area from the laser imaging video sequence with unobvious motion area and serious noise, thus realize accurate location of gas leakage area.

Published in:

Computer Science and Education (ICCSE), 2010 5th International Conference on

Date of Conference:

24-27 Aug. 2010

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