Research on identification and anti-interference method of mine external fire based on image smoothness

SUN Jiping; LI Xiaowei

doi:10.13247/j.cnki.jcumt.20240217

Abstract：Image monitoring is the main sensing method for mine fire,but it is interfered by the light source in the mine.Image roundness and rectangularity methods are greatly affected by the camera installation position and the angle of the target image,and it is difficult to exclude the interference of the light source in the mine.It is revealed that the perimeter of the actual boundary of the image of the mine light source,such as circular lamp,square lamp and rectan-gular lamp,is approximately equal to the perimeter of the boundary of the rectangular image of the same area,while the perimeter of the actual boundary of the flame image is obviously larger than that of the boundary of the rectangular image of the same area,and other charac-teristics.The proposed image smoothness calculation method,with the shape and external rec-tangular image similar to the area of the target image area equal to the perimeter of the similar rectangle,divided by the image of the actual boundary perimeter of the ratio of the smoothness of the image.The smaller the value of the target image smoothness,the less smooth the image boundary is,and the more serious the convexity and concavity are.An image smoothness-based identification and anti-interference method for mine external fires is proposed,which cal-culates the smoothness of the target image and distinguishes the flame from the mine light source based on the large smoothness value of the mine light source and the small smoothness value of the flame image.This method is not affected by the shape of the mine light source,the distance of the camera from the detection target and the image size,the installation posi-tion of the camera and the angle of the camera and the detection target,etc.It has a wide range of adaptability and high recognition accuracy.The experimental study shows that the ac-curacy of recognizing the fire flame image by smoothness is 98.1％,and the recall rate is 97.9％;the accuracy of recognizing rectangularity is 81％,and the recall rate is 78.9％;and the accuracy of recognizing roundness is only 33.3％,and the recall rate is 28.9％.