| Forest resources play an important role in the development of human beings,while the protection of forest resources is threated by forest fire.Therefore,it is very important to monitor and protect forest fires.This paper carried on video images of forest fires smoke in-depth research,starting with the essential attribute of smoke,and at the same time,under the guidance of aerodynamics theory,the dynamic characteristics of smoke were extracted as the criterion of forest fire identification.The main research contents are as follows:(1)In this paper,video capture is used to collect smoke image data,and this paper take smoke video images as the object of study,exploring the relationship between smoke and its aerodynamic forces during its diffusion motion.The purpose of this paper is to discover the underlying causes of smoke side shift and movement path change,and to find the characteristic target quantity of smoke identification,so as to increase the smoke identification characteristics in forest fire smoke detection methods.(2)The smoke images were processed explicitly and morphologically,and the smoke extraction area was determined,which ensured the accuracy of the subsequent experimental data processing.Based on the diffusion of forest fire smoke,this paper analyzed smoke divergence and the motion path angle of smoke,as the same time drew out the kinetic curve of smoke,calculated the smoke path angle,and got dynamic characteristics of smoke characteristic.Through comparative analysis,found that the positive and negative values of smoke divergence changed sharply.Compared with the dynamic curve and moving path angle of cloud,the dynamic curve of smoke fluctuates widely,and the range of smoke motion path is wide.(3)In this paper,image data processing,the whole set of data for segmentation pixels with coordinate attributes,image data and digital geometry,reduces the redundant data,improve the computer speed and speed up the response time of the system.The above research shows that smoke has unique dynamic characteristics in its diffusion movement and can be used in forest fire smoke identification. |