Paper
31 July 2023 CCD image sensing method for temperature measurement
Jun Jiang, Haibin Wu, Xinbing Chen
Author Affiliations +
Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127470F (2023) https://doi.org/10.1117/12.2689323
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China
Abstract
The environment in iron and steel smelting furnace is bad, and there are various unknown interference factors. Non-contact temperature measurement using image sensor is very helpful to the complexity of iron and steel smelting. At the same time, it can better study the interference factors to the temperature accuracy of iron and steel smelting furnace. This paper introduces the development of image temperature measurement technology, analyzes the noise in the process of image temperature measurement, and improves the accuracy of subsequent temperature measurement. Then the least square method was used to compare the temperature and gray ratio obtained by color temperature measurement for fitting analysis, and the data with higher accuracy was obtained.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jun Jiang, Haibin Wu, and Xinbing Chen "CCD image sensing method for temperature measurement", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127470F (31 July 2023); https://doi.org/10.1117/12.2689323
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KEYWORDS
Temperature metrology

Charge-coupled devices

CCD image sensors

Image processing

Infrared radiation

Transmittance

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