基于OpenCV的红外视频测温方法的实现  

Realization of Infrared Video Temperature Measurement Method Based on OpenCV

作　　者：徐飞[1] 许博文[1] 

机构地区：[1]重庆邮电大学信号与信息处理重庆市重点实验室,重庆400065

出　　处：《红外》2013年第11期26-30,共5页Infrared

基　　金：国家自然科学基金项目(61275099;61102131);信号与信息处理重庆市市级重点实验室建设项目(CSTC2009CA2003);重庆市自然科学基金资助项目(CSTC2010BB2411;CSTC2010BB2398;CSTC2006BB2373)

摘　　要：由于近些年来红外测温技术受到环境场合、应用领域以及物质本身特性等因素的限制,新颖的非接触式测温方法逐渐受到重视。但单纯的分析功能还远远达不到广泛使用的需求,其中静态的红外图像分析已经不能解决较为复杂的问题。针对这一技术的不足,提出了一种红外视频测温分析方法。该方法基于MFC并调用OpenCV库编程完成,实现了动态点、线、面分析以及高温点自动捕捉等多种功能,创造性地在线、面分析中新增了最高、最低温度的分析方法和最高、最低温度的实时捕捉功能。实验结果表明,该方法的动态分析效果明显,软件运行稳定,测温精度较高.Because infrared temperature measurement techniques are limited by some factors such as environment, applications and the characteristics of material itself, some novel noncontact temperature measurement methods have attention gradually. However, their simple analysis functions are not sufficient to meet the demands for wide usage. Among them, the static infrared image analysis is not able to solve more complex problems. For this reason, an infrared video temperature measurement method is proposed. The method is based on MFC. Its programming is completed by calling the OpenCV library. In the method, many functions such as point, line,and surface analysis and automatic high temperature point capturing can be implemented. The highest and lowest temperature analysis functions and the online highest and lowest temperature capturing functions are creatively added in the line and surface analysis. The experimental result shows that this method has the advantages of obvious dynamic analysis effectiveness, stable software running and higher temperature measurement precision.

关 键 词：红外图像 OPENCV 红外视频 测温分析 

分 类 号：TN215[电子电信—物理电子学]