红外与激光工程, 2016, 45 (3): 0304006, 网络出版: 2016-04-05   

红外靶标的图像灰度与温度相关性剖析

Correlativity analysis between image gray value and temperature based on infrared target
作者单位
1 西安邮电大学 电子工程学院,陕西 西安 710121
2 西北工业大学 航海学院,陕西 西安 710072
3 西安邮电大学 理学院,陕西 西安 710121
4 西安邮电大学 通信与信息工程学院, 陕西 西安 710121
摘要
通过图像灰度与温度的相关性,可以精确地得到一些领域上难以被测量到的温度。提出了基于红外靶标的图像灰度与温度的相关性分析。以自行研制的红外靶标为研究对象, 采集带有圆形目标孔的红外靶标在不同温度(60~110 ℃)下的红外图像, 再利用Matlab提取不同温度下特定区域的红外图像灰度值,从而确定红外靶标图像灰度与其温度的相关性,得其相关系数为0.962。实验结果表明:红外靶标图像中AOI(area of interest)的平均灰度与温度存在明显的相关性, 当红外靶标的温度发生变化时, 其红外图像灰度也随之发生变化,且两者呈良好的线性关系。基于红外靶标的图像灰度与温度的相关性在造纸厂草料自燃研究、医疗安全、道路施工等方面都有着较好的应用。
Abstract
By using the correlativity between image gray value and temperature, the temperature that is hard to measure can be accurately obtained in some fields. The correlativity analysis between image gray value and temperature was proposed based on infrared target(IT). Self-developing infrared target was taken as a research object, which was a method to collect the infrared images which were taken at different temperatures (60-110 ℃) by infrared target with circular apertures. Matlab was used to extract the infrared image gray values (IIGV) of certain regions at different temperatures, which could ensure the correlativity between infrared target image gray value(ITIGV)and its temperature. The correlation coefficient of 0.962 was obtained. Experimental results reveal a good linear correlation between the average gray value of area of interest (AOI) in the infrared target images and temperature. With the change of infrared target temperature, infrared image gray values has changed. Both of them show a good linear correlation. The correlativity between image gray value and temperature based on infrared target has an outstanding effect on straw self-ignition in paper mill, medical security, road construction, etc.

巩稼民, 郭涛, 曹懿, 柳华勃, 王贝贝. 红外靶标的图像灰度与温度相关性剖析[J]. 红外与激光工程, 2016, 45(3): 0304006. Gong Jiamin, Guo Tao, Cao Yi, Liu Huabo, Wang Beibei. Correlativity analysis between image gray value and temperature based on infrared target[J]. Infrared and Laser Engineering, 2016, 45(3): 0304006.

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