Mine Fire Detection Based on Infrared Image Processing

摘要

Mine fire is forecast with temperature, smog, CO, CO2 and other paremeters at present The above monitoring methods can't meet the requirement for safe production of coal mines in accuracy and validity of monitoring. In the process of early fire, there is a temperature difference and have some edge effects. So these image information lay the foundation for early identification and assessment of fire. Aiming at the defects of the traditional methods on mine fire monitoring, The infrared image processing method which is based on snake algorithm with immune genetic algorithm is putforward. The improved snake algorithM is applied to edge contour extraction of mine fire image images after capturing images with CCD infrared camera. The experiment results show that the infrared image processing method based on improved snake algorithm has high reliability and the effect was very good.