Method of Temperature Measurement Using Image Based on GRNN
As the temperature changing in the tubular furnace, the color of the reflect light from the tubular furnace will change also, so a method of temperature measurement using image based on generalized regression neural network (GRNN) is proposed. Firstly, the original color images were segmented and smoothed. Then the calculation of pixels R, G, B value of each image divided by the pixels number of the furnace mouth and its results are set to input vectors of GRNN network. GRNN is used to approximate the nonlinear relationship between temperature and the color value of each image. Finally, GRNN network is used to forecast the temperature, and compared with the results of BP network. The experimental results show that it is high speed and accuracy to apply GRNN to the method of temperature measurement using image.
Temperature Measurement GRNN Image Segmentation Filter BP Neural Network
Liu Hui Zhang Yun-sheng Wang Shuai
Faculty of Materials and Metallurgical Engineering, Kunming University of Science and Technology, Ku Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kun
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
2992-2996
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）