基于变分水平集图像分割的视频烟雾检测方法

为及时判断火灾发生情况，利于灭火工作，研究了火灾早期产生烟雾的情况下，通过固定监视探头捕捉 到的影像视频，针对视频中的火情烟雾进行检测，结合计算机视频检测技术的光流法和帧差法获得视频中烟雾 运动的区域，基于某一时刻摄像机不动的情况下得到两帧连续的图像并检测视频中的运动区域，提出了一种不 需初始化的变分水平集算法。利用该算法对烟雾的视频进行分割，将运动区域从背景中分割出来，对烟雾进行 检测分析。从而使通过烟雾判断火情更精确，检测结果更实时，提高了视频指挥灭火工作的效率。

Video Smoke Detection Method Based on Variational Level Set Image Segmentation

In the case of smoke generated in the early stage of the fire，the video captured by the fixed monitoring probe is used to detect the fire smoke，and the frame difference method of the computer video detection technology is used to obtain the area of the smoke movement． When the camera is not moving，two consecutive images are obtained and the motion region in the video is detected． The video of the smoke is segmented by the variational level set method，and the motion region is segmented from the background to detect and analyze the smoke． Therefore，it is more accurate to judge the fire through the smoke，and the detection result is more real-time，which improves the efficiency of the video command fire fighting work．