基于神经网络的彩色温度软测量控制理论与控制工程专业论文.docxVIP

优秀毕业论文 精品参考文献资料 TEMPERATURE TEMPERATURE SOFT MEASUREMENT USING COLOR BASED ON NEURAL NETWORK ABSTRACT Temperature is a very important parameter in scientific research and engineering field，therefore the technique of high precision temperature measurement is extremely important．According to the correspondence between the color of the high-temperature object in visible light band and the temperature，a method of temperature measurement by collecting the color of the high—temperature object with a digital camera is proposed，which is based on neural network． In this thesis，the first step，gather electric stove image samples through experiment and establish standard image database；secondly pre—process the image samples：using the method of median filtering to eliminating the image noise，using the method of threshold segmentation on image samples to segment background and using average data to gain the color of image；thirdly use massive sample data to train both neural networks(BP neural network and RBF neural network)，and approximate the nonlinear relationship between the information value of color(Red，Green and Blue)and the temperature of object；The last step，apply this method to the temperature measurement．The analysis resulted from massive experimental data indicated that，the method iS very feasible，which express a hi．gh precision of temperature measurement and is within acceptable precision scope，especially the method is simple and low cost． Compared with BP neural network，RBF neural network is more easily designed， obviously faster training speed and the higher precision． KEY WORDS：Color‘9 Temperature；Image processing technology； Neural network Ⅱ 主要符号对照表Charged 主要符号对照表 Charged Coupled Device 咖R Red G Green B Blue Commission Intemation Del’Eclairage ∞H Hue s Saturation Intensity Error Back Proragation I即|萋 Radial Basis Function VI 广西大学学位论文原创性声明和学位论文使用授权说明 广西大学学位论文原创性声明和学位论文使用授权说明 学位论文原创性声明 本人声明：所呈交的学位论文是在导师指导下完成的，研究工作所取得的成果和相 关知识产权属广西大学所有。除已注明部分外，论文中不包含其他人已经发表过的研究 成果