A Hierarchical Bayesian Fusion Method of Infrared and Visible Images for Temperature Monitoring of High-Speed Direct-Drive Blower

The high-speed direct-drive blower is a high-efficiency, energy-saving, and environmentally friendly blower, and it is widely applied in industrial fields. The temperature changes significantly affect the performance of the high-speed direct-drive blower, and it is crucial to monitor its temperature...

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Bibliographic Details
Published in:IEEE sensors journal 2022-10, Vol.22 (19), p.18815-18830
Main Authors: Wang, Li, Zhao, Puhan, Chu, Ning, Yu, Liang, Mohammad-Djafari, Ali
Format: Article
Language:English
Subjects:
Algorithms
Bayes methods
Bayesian analysis
Bayesian fusion
Blowers
Computer vision
Data integration
High speed
high-speed direct-drive blower
Image contrast
Image fusion
Image processing
infrared and visible images
Infrared imagery
joint maximum a posteriori (JMAP) algorithm
Measurement methods
Optimization
Surveillance
Task analysis
Temperature measurement
Temperature sensors
Uncertainty
Wavelet transforms
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Summary:The high-speed direct-drive blower is a high-efficiency, energy-saving, and environmentally friendly blower, and it is widely applied in industrial fields. The temperature changes significantly affect the performance of the high-speed direct-drive blower, and it is crucial to monitor its temperature. Infrared and visible light cameras are simultaneously used to measure and characterize temperature information. The measurement method can have both the temperature information of the infrared image and the contrast information of the structure and contour of the visible light image. This article establishes an image fusion representation and probabilistic generation model of infrared and visible images. Then, the information of the infrared and visible images is fused under the Bayesian framework. A hierarchical prior model using the Haar wavelet transform is proposed. The joint maximum a posteriori criterion is chosen, and an appropriate alternate optimization algorithm is designed to achieve information fusion. The proposed method is validated in industrial scenarios of high-speed direct-drive blowers. The experimental results demonstrate the robustness and effectiveness of the proposed method.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2022.3201226