Volume 45 Issue 10
Dec.  2016
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Zhang Xiaoye, Xu Chao, He Limin, Chen Yihe. Temperature field of body surface measurement by uncooled infrared thermal imager and error correction[J]. Infrared and Laser Engineering, 2016, 45(10): 1004003-1004003(7). doi: 10.3788/IRLA201645.1004003
Citation: Zhang Xiaoye, Xu Chao, He Limin, Chen Yihe. Temperature field of body surface measurement by uncooled infrared thermal imager and error correction[J]. Infrared and Laser Engineering, 2016, 45(10): 1004003-1004003(7). doi: 10.3788/IRLA201645.1004003

Temperature field of body surface measurement by uncooled infrared thermal imager and error correction

doi: 10.3788/IRLA201645.1004003
  • Received Date: 2016-02-11
  • Rev Recd Date: 2016-03-18
  • Publish Date: 2016-10-25
  • Measure body surface temperature with uncooled infrared thermal imager has many features such as fast, non-contact, short scope of measurement and higher accuracy requirement. But temperature of core and environment will interfere the accuracy of micro-bolometer to a great degree. A new method was proposed to correct temperature error caused by the difference of temperature between calibration and measurement. The data of core temperature, environment temperature and grayscale were measured and recorded, and then error correction parameter was calculated by using SVM. In the course of measurement, the environment temperature and core temperature were obtained with thermocouple and sensor in micro-bolometer, and then error correction of environment temperature and core temperature were finished by error correction parameter. By this way more accurate data of human body surface temperature field were gained. Experimental results shows that the error of new corrected method can be decreased at least 50% when the distance of measurement is about 2m, compared with thermocouple of high precision which had been calibrated.
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    [2] Li Guohua, Wu Lixin, Wu Miao, et al. Infrared thermal image technique and it's application progress research[J]. Infrared and Laser Engineering, 2004, 33(3):227-230. (in Chinese)李国华, 吴立新, 吴淼, 等. 红外热像技术及其应用的研究进展[J]. 红外与激光工程, 2004, 33(3):227-230.
    [3] Chiu W, Lin P, Chiou H Y, et al. Infrared thermography to mass-screen suspected SARS patients with fever[J]. Asia-Pacific Journal of Public Health, 2005, 17(1):26-28.
    [4] Bai Tingzhu, Jin Weiqi. Photoelectric Imaging Principle and Technology[M]. Beijing:Beijing Institute of Technology Publishing House, 2013. (in Chinese)白廷柱, 金伟其. 光电成像原理与技术[M]. 北京:北京理工大学出版社,2013.
    [5] Ding Weiyi. Key technology and algorithm research of uncooled infrared thermal imaging temperature measuring system[D]. Chengdu:University of Electronic Science and Technology of China, 2014. (in Chinese)丁维一. 非制冷红外热成像测温系统关键技术和算法研究[D]. 成都:电子科技大学, 2014.
    [6] Shi Dongping, Wu Chao, Li Zijun, et al. The impact analysis of infrared measuring temperature based on the reflection of temperature compensation and temperature compensation[J]. Infrared and Laser Engineering, 2015, 44(8):2321-2326. (in Chinese)石东平, 吴超, 李孜军, 等. 基于反射温度补偿及入射温度补偿的红外测温影响分析[J]. 红外与激光工程, 2015, 44(8):2321-2326.
    [7] Jones B F. A reappraisal of the use of infrared thermal image analysis in medicine[J]. IEEE Transactions on Medical Imaging, 1998, 17(6):1019-1027.
    [8] Yang Li, Yang Zhen. Infrared Thermal Imaging Temperature Measuring Principle and Technology[M]. Beijing:Science Publishing House, 2012. (in Chinese)杨立,杨帧. 红外热成像测温原理与技术[M]. 北京:科学出版社, 2012.
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Temperature field of body surface measurement by uncooled infrared thermal imager and error correction

doi: 10.3788/IRLA201645.1004003
  • 1. Key Laboratory of Photo-electronic Imaging Technology and System,Ministry of Education,School of Optoelectronics,Beijing Institute of Technology,Beijing 100081,China

Abstract: Measure body surface temperature with uncooled infrared thermal imager has many features such as fast, non-contact, short scope of measurement and higher accuracy requirement. But temperature of core and environment will interfere the accuracy of micro-bolometer to a great degree. A new method was proposed to correct temperature error caused by the difference of temperature between calibration and measurement. The data of core temperature, environment temperature and grayscale were measured and recorded, and then error correction parameter was calculated by using SVM. In the course of measurement, the environment temperature and core temperature were obtained with thermocouple and sensor in micro-bolometer, and then error correction of environment temperature and core temperature were finished by error correction parameter. By this way more accurate data of human body surface temperature field were gained. Experimental results shows that the error of new corrected method can be decreased at least 50% when the distance of measurement is about 2m, compared with thermocouple of high precision which had been calibrated.

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