Influence of Dust on Temperature Measurement Using Infrared Thermal Imager

被引：11

作者：

Pan, Dong ^{[1
]}

Jiang, Zhaohui ^{[1
]}

Gui, Weihua ^{[1
]}

Maldague, Xavier ^{[2
]}

Jiang, Ke ^{[1
]}

机构：

[1] Cent South Univ, Sch Automat, Changsha 410083, Peoples R China

[2] Univ Laval, Dept Elect & Comp Engn, Quebec City, PQ G1V 0B1, Canada

来源：

IEEE SENSORS JOURNAL | 2020年 / 20卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Temperature measurement; Optical variables measurement; Thermal lensing; Furnaces; Adaptive optics; Optical imaging; Lenses; Compensation; dust; infrared thermography; temperature measurement; THERMOGRAPHY; ANGLE; VIEW;

D O I：

10.1109/JSEN.2019.2957064

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Temperature measurement by infrared thermal imager is an attractive technique in many fields, and it is of great importance to ensure the measurement accuracy of the infrared thermal imager. Aiming at the influence of dust on the temperature measurement of infrared thermal imager, this paper summarized the dust influence into three categories: dust on the surface of the measured object, dust on the infrared thermal imager's lens and dust in the optical path between the measured object and the infrared thermal imager, and conducted three dust experiments. To quantify the measurement errors caused by dust, the infrared thermal image features that are affected by dust are extracted and a compensation model is established based on polynomial regression. The results indicate that dust can introduce measurement errors of infrared thermal imager and the proposed compensation method can compensate for the measurement errors caused by dust and improve the accuracy of infrared thermal imager.

引用

页码：2911 / 2918

页数：8

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