基于BP神经网络的彩色温度软测量

基于高温物体的温度不同,与之相对应通过数码相机摄取的高温物体的颜色也不同,提出一种神经网络的图像颜色测温方法.选取RGB模型的R、G和B作为模式特征向量,用BP网络拟合高温物体的颜色和温度之间的非线性关系.实验结果表明,该方法精度高,运行速度快,切实可行.

Temperature Soft Measurement Using Color Based on BP Neural Network

Based on the fact that different high- temperature object images captured by the digital camera correspond with the different temperature of the high - temperature object, a method of temperature measurement using image color based on neural network is proposed. R,G,B of the RUB model are used 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 running rate is quick, so the method is feasible.