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.
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Zhu et al. (2024) studied this question.
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