基于色彩特征的森林火灾火焰分割方法

Forest fire flame segmentation method based on color feature

目前的火焰分割方法中大都是基于灰度图像进行分割,或者对彩色图像进行相应的变化后再进行分割,针对这些方法存在的计算量大、算法复杂度高等问题,提出一种简单有效的森林火焰分割方法。该方法通过对一千多幅实验样本进行统计,提出一种基于红色(R)分量的火焰区域分割方法,与传统的分割方法相比取得了较好的分割效果;在对视频的处理中,通过和帧差分方法相结合,使得分割对于云雾等白色区域的抗干扰能力得到加强。

Flame is the most important visual characteristics of fire, so quickly and accurately extracting the flame region become the key of fire detection. The current flame segmentation methods are mostly based on gray-scale image, or change the color space before color image segmentation. These methods not only large computation, but also high complexity. This paper proposed a simple and effective method for forest flame segmentation. One thousand pieces of test images were statistieed in this method, then a new fire flame segmentation method was proposed based on red-channel. This method achieved good result compared with the traditional segmentation method. In video processing, through the combination of frame difference algorithm, the Anti-interference capacity was strengthened.