Dangerous gas detection based on infrared video

Kang Ding; Hanyu Hong; Likun Huang

doi:10.1117/12.2283382

8 March 2018 Dangerous gas detection based on infrared video

Kang Ding, Hanyu Hong, Likun Huang

Proceedings Volume 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1061111 (2018) https://doi.org/10.1117/12.2283382
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

As the gas leak infrared imaging detection technology has significant advantages of high efficiency and remote imaging detection, in order to enhance the detail perception of observers and equivalently improve the detection limit, we propose a new type of gas leak infrared image detection method, which combines background difference methods and multi-frame interval difference method. Compared to the traditional frame methods, the multi-frame interval difference method we proposed can extract a more complete target image. By fusing the background difference image and the multi-frame interval difference image, we can accumulate the information of infrared target image of the gas leak in many aspect. The experiment demonstrate that the completeness of the gas leakage trace information is enhanced significantly, and the real-time detection effect can be achieved.

Citation Download Citation

Kang Ding, Hanyu Hong, and Likun Huang "Dangerous gas detection based on infrared video", Proc. SPIE 10611, MIPPR 2017: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1061111 (8 March 2018); https://doi.org/10.1117/12.2283382

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