Method of temperature measurement using image based on GRNN

  • Authors:

  • Liu Hui;Zhang Yun-Sheng;Wang Shuai

  • Affiliations:

  • Faculty of Materials and Metallurgical Engineering, Kunming University of Science and Technology, Kunming;Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China;Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

  • Venue:
  • CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
  • Year:
  • 2009

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Abstract

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 pixel's 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.