供稿: 朱丽娟;周永华;周黄斌 | 时间: 2019-05-05 | 次数: |
作者单位:广西大学电气工程学院;广西大学电气工程学院
摘要:高温物体的温度不同,通过数码相机摄取的高温物体的颜色也不同,由此提出一种基于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.
DOI:10.16186/j.cnki.1673-9787.2008.02.021
分类号:TP274;TP183
Temperature soft measurement of color based on BP neural network
Abstract:Based on the fact that different high-temperature object images captured by the digital camera correspond with the different colors, a method of temperature measurement of image color based on neural network is proposed.R, G and B of the RGB model are used as the pattern character vectors.BP neural network is used to approximate the nonlinear relations between the color and the temperature of high-temperature object.The experiment result shows that the method is feasible with high accuracy and quick running rate.