基于图像处理的森林烟火检测系统-《计算机技术与发展》

文章信息/Info

Keywords:: wildfire detection; least mean square; decision function; weighting

摘要:: 为了能够在多种检测环境中，对森林烟火实现较为精准的定位，达到降低大规模森林火灾发生的可能性，文中研究了视频中基于慢运动物体检测、烟雾颜色区域检测、上升烟区检测、阴影检测与去除等四个子算法；利用最小均方算法对以上四个子算法进行加权；结合OpenCV图像分析处理技术和C++编程，设计了基于图像处理的森林烟火检测系统。实验结果表明，系统具有自动化、智能化程度高，对运行环境要求宽松，使用简单便捷等诸多优点

Abstract:: In order to accurately find the location of the fire and make the forest fire losses to a minimum degree in a variety of detection environment,fire detection based on four algorithms like slow moving video object detection,smoke-colored region detection,rising vide-o object detection and shadow detection and elimination is researched. Sub-algorithms are weighted using least mean square. Wildfire de-tection system based on image processing combining OpenCV image analysis processing technology and C++ programming is designed. Experimental results show that the system has high automation and intelligence,loose requirements of runtime environment,convenient operating and many other advantages