| RBF神经网络单基色温度测量及比较 |
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| 引用本文： | 朱丽娟. RBF神经网络单基色温度测量及比较[J]. 计算机时代, 2011, 0(12): 33-34 |
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| 作者姓名： | 朱丽娟 |
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| 作者单位： | 盐城师范学院物理科学与电子技术学院,江苏盐城,224002 |
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| 摘 要： | 基用数码相机拍摄高温物体图像,将获取的图像进行R、G、B三基色分离,输入RBF神经网络,分别拟合R-T、G-T、B-T之间的非线性关系.实验结果表明,应用RBF神经网络的单基色进行测温有良好的测量精度,其中单基色G通道精度最高且测量范围最大,为最优测量分量.
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| 关 键 词： | RBF神经网络 图像处理 单基色 温度测量 |
Temperature Measurement and Comparison of Using Color Single Channel Based on RBF Neural Network |
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| ZHU Li-juan. Temperature Measurement and Comparison of Using Color Single Channel Based on RBF Neural Network[J]. Computer Era, 2011, 0(12): 33-34 |
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| Authors: | ZHU Li-juan |
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| Affiliation: | ZHU Li-juan (School of Physical Science and Electronics Technology, Yancheng Teachers University, Yancheng, Jiangsu 224002, China) |
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| Abstract: | The image of a high temperature object is taken by a digital camera, and then it is transformed into R, G and B color single channel. The three colors are respectively sent into RBF neural network to fit the nonlinear relationship between color and temperature, namely R-T, G-T and B-T. The experiment results prove that the measuring temperature of color single channel based on RBF neural network has good precision, and color single channel G achieves the highest precision and largest measurement range, it is the best measurement component. |
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| Keywords: | RBF neural network image processing color single channel temperature measurement |
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