红外与激光工程, 2003, 32 (5): 527, 网络出版: 2006-04-28
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
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.
Abstract
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.
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袁野, 仲崇权, 余松煜, 田中旭. 基于神经网络的图像颜色测温方法[J]. 红外与激光工程, 2003, 32(5): 527. 袁野, 仲崇权, 余松煜, 田中旭. Method of temperature measurement using image color based on neural network[J]. Infrared and Laser Engineering, 2003, 32(5): 527.
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