Study on Temperature Recognition of Thermal Paint Based on Color Camera

Abstract

Abstract As a temperature-sensing material, the thermal paint will show different colors at different temperatures, so the temperature of the thermal paint can be judged by observing the color. It is an efficient way to identify the color of the thermal paint by the color image, so the calibration of the color camera is very important. The main work of this paper is to calibrate a color industrial camera and compare our proposed method with several commonly used methods. Finally, it is concluded that the proposed method combining BP neural network and maximum entropy estimation works best.