摘要
图像型火灾探测技术较传统的粒子、烟雾、光电等传感器探测技术,具有信息量丰富、实时性好等优点,是火灾防治技术领域的研究重点。通过硬件滤光的方式来滤除监控现场的可见光,有效地减少了干扰,降低信息处理的复杂性。根据火焰燃烧时的多项特征,在检测准确度的范围内,选定火焰的圆形度、跳动频率、尖角,以及面积增长和质心移动特性作为特征提取对象。利用Matlab强大的图像处理和计算能力,对火焰的特征进行研究分析,并成功提取了所需参数,为火灾的准确判断奠定了基础。实验结果表明,该识别方法判定可靠、计算量小、运算速度快,满足火灾判断的实时性需要。
Compared with the traditional sensor technology of particles, smoke, photoelectric and so on, imaging-based fire detection technology has the advantages of abundant information amount and good real-time performance, thus becoming a research hotspot in the field of fire prevention and control technology. In this paper, the visible light of monitoring spots is filtered out by the way of filtering, re- ducing the influence and the complexity information processing. According to the flame features, this paper determines circularity, frequency, sharp corners, growth of area and the center of mass movement as the characteristics extraction object within the detection accuracy. The characteristics of flame are an- alyzed and required parameters are extracted successfully by the powerful image processing and compu ting capability of Matlab. This paper lays a foundation for accurate fire detecting. The experimental re- sults show that the recognition method is reliable, small computational amount, fast operation and meets the need of real-time fire judging.
出处
《计算机工程与科学》
CSCD
北大核心
2013年第7期131-136,共6页
Computer Engineering & Science
基金
华东交通大学研究生创新资金资助项目(YC2011-X008)
关键词
MATLAB
火焰识别
图像处理
火焰特征
Matlab
detection of flame
image processing
characteristics of flame
