Research on GMM-based imaging enhancement technology for insulated gas leakage

Feng Zhu; Yue Zhao; Fengxiang Ma; Weijia Shi; Cao Jun; Zhengjie Xu; Anjing Wang; Fangxiao Cui; Dacheng Li

doi:10.1117/12.3038222

7 August 2024 Research on GMM-based imaging enhancement technology for insulated gas leakage

Feng Zhu, Yue Zhao, Fengxiang Ma, Weijia Shi, Cao Jun, Zhengjie Xu, Anjing Wang, Fangxiao Cui, Dacheng Li

Author Affiliations +

Proceedings Volume 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024); 132290H (2024) https://doi.org/10.1117/12.3038222
Event: Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 2024, Nanchang, China

Abstract

The monitoring of insulated gas leakage in the power industry mainly relies on infrared imaging means, which realizes gas diffusion imaging display by measuring the regional temperature difference caused by the selective radiation absorption of insulated gas. Aiming at the difficulty of identifying trace insulated gas leakage under complex background interference, this paper proposes the research of insulated gas leakage imaging enhancement technology based on Gauss Mixed Model (GMM), which enhances gas diffusion display by deducting complex dynamic background. Through the simulation experiment of insulated gas leakage, the infrared multi-frame images of gas leakage were collected and processed to realize the diffusion marking of insulated gas leakage, which preliminarily verifies the feasibility of the proposed method, and has certain application potential in intelligent imaging monitoring of insulated gas leakage in power industry.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Feng Zhu, Yue Zhao, Fengxiang Ma, Weijia Shi, Cao Jun, Zhengjie Xu, Anjing Wang, Fangxiao Cui, and Dacheng Li "Research on GMM-based imaging enhancement technology for insulated gas leakage", Proc. SPIE 13229, Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), 132290H (7 August 2024); https://doi.org/10.1117/12.3038222

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KEYWORDS

Infrared imaging

Diffusion

Infrared radiation

Image processing

Thermal modeling

Thermography

Motion models

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