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.