摘要
研究目的为3.2~3.4μm窄波段红外热像仪的测温方法,本文从图像处理领域出发,利用红外热像仪和标准辐射源黑体,在一定的环境温度下,采集不同温度的黑体红外图像,通过数学建模软件对黑体图像进行灰度值计算,进而探究图像灰度值与温度的相关性,并基于最小二乘法和插值拟合思想构造黑体标定曲线,根据得到的标定曲线和已有的灰度值推出验证温度。经验证结果表明,测温精度有所提升,误差在0.49℃以内。
The purpose of this paper is to study the temperature measurement method of narrow band infrared camera.Firstly,starting from the field of image processing,an infrared thermal imager and a standard radiation source blackbody is used to collect blackbody infrared images at different temperatures at a certain ambient temperature.Then,the gray value of the blackbody image is calculated through mathematical modeling software and the correlation between the gray value and temperature is explored.Finally,the blackbody calibration curve is constructed based on the least squares method and interpolation fitting idea and the verification temperature is derived from the resulting calibration curve and the existing gray value.The validation results show that the temperature measurement accuracy has been improved,and the error is within 0.49℃.
作者
李冠霖
范永杰
王正吉
刘宇宇
LI Guan-lin;FAN Yong-jie;WANG Zheng-ji;LIU Yu-yu(School of Science,Kunming University of Science and Technology,Kunming 650500,China)
出处
《激光与红外》
CAS
CSCD
北大核心
2024年第1期92-96,共5页
Laser & Infrared
关键词
窄波段
红外热像仪
黑体
灰度值
测温
narrow band
thermal imaging cameras
Blackbody
grayscale value
temperature measurement