摘要
介绍了一种以火焰闪烁特征为基础的早期火灾图像识别方法,先通过颜色特征判断可疑区域,再在此基础上对可疑像素的一维信号进行频率分析,以区分火焰像素和具有火焰颜色物体的像素。闪烁判据减少了误报和漏报,提高了火焰识别的可靠性和准确性。
Introduce a flame recognition method based on flicker characteristic.First a suspicious region was recognized with color characteristic,base on which the 1-D signal of the suspicious pixel was analyzed on frequency to distinguish between fire pixel and object pixel with fire color.the times of false alarm and failing to alarm was reduced due to flicker criterion,and dependability and veracity of flame recognition was improved.
出处
《消防科学与技术》
CAS
北大核心
2013年第6期636-638,共3页
Fire Science and Technology
基金
山东省科技发展计划项目“基于红紫外光的工业火焰探测器和校验器的研制”(2011GGH10131)
关键词
火焰识别
闪烁特征
小波分析
flame recognition
flicker characteristic
wavelet analysis
