基于神经网络的图像颜色测温方法  

Method of temperature measurement using image color based on neural network

作　　者：袁野[1] 仲崇权[2] 余松煜[1] 田中旭[3] 

机构地区：[1]上海交通大学图像通信与信息处理研究所,上海200030 [2]大连理工大学自动化系,辽宁大连116024 [3]上海大学CIMS&机器人中心,上海200072

出　　处：《红外与激光工程》2003年第5期527-530,共4页Infrared and Laser Engineering

摘　　要：在可见光谱范围内,随着温度的变化,高温物体的颜色也在相应变化,因此提出了一种基于神经网络的图像颜色测温方法。选取HSV模型中的H和S作为模式特征向量,用神经网络拟合出高温物体的颜色与温度之间的非线性关系。实验结果表明,应用神经网络进行图像颜色测温的精度在可接受范围内,且受客观环境影响较小,说明方法是切实可行的。Within the scope of visible spectrum, the color of high\|temperature object changes with the temperature. A method of temperature measurement using image color based on neural network is proposed. Hue and saturation of the HSV model are used as the pattern character vectors. BP neural network is used to approximate the nonlinear relationship between the color and the temperature of the high\|temperature object. The experimental result shows that the accuracy is within acceptable scope, and the result can't be effected by the environment, so the method is feasible.

关 键 词：测温 神经网络 颜色模型 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]