摘要
研究基于图像处理的船舶火灾探测系统,其主要用颜色模型算法对采集到的实时图像进行分割,提取目标区域的图像特征,把图像特征作为分类器的输入,输出为1则表示有火灾发生,发出报警信号,输出为2则表示无火灾,继续监控。通过该系统可以对初期火灾进行探测。
A ship fire detection system based on image processing is studied. In the system,the color model algorithm isused to segment the acquired real?time image,and extract the image features of target area. And then the image features are takenas the inputs of the classifier. If the output of the classifier is 1,it means there is a fire incident,and the system will send thealarming signal. If the output of the classifier is 2,it means there is no fire incident,and the system will monitor unceasingly.The system can detect the early fire.
作者
沐小会
宋英磊
张冰
MU Xiaohui;SONG Yinglei;ZHANG Bing(College of Electronics and Information,Jiangsu University of Science and Technology,Zhenjiang 212003,China)
出处
《现代电子技术》
北大核心
2016年第14期39-41,共3页
Modern Electronics Technique
基金
江苏科技大学博士科研启动基金资助项目(635301202)
关键词
船舶火灾
图像处理
特征提取
火焰识别
ship fire
image processing
feature extraction
flame identification
