• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (7): 131-136.

• 论文 • 上一篇    下一篇

火焰特性识别的Matlab实现方法

熊国良,苏兆熙,刘举平,谢正侠   

  1. (华东交通大学机电工程学院,江西 南昌 330013)
  • 收稿日期:2012-04-13 修回日期:2012-06-20 出版日期:2013-07-25 发布日期:2013-07-25

Matlab implementation of indentifying characteristics of flame

XIONG Guoliang,SU Zhaoxi,LIU Juping,XIE Zhengxia   

  1. (School of Mechatronics Engineering,East China Jiaotong University,Nanchang 330013,China)
  • Received:2012-04-13 Revised:2012-06-20 Online:2013-07-25 Published:2013-07-25

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。

关键词: Matlab;火焰识别;图像处理;火焰特征

Abstract:

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, reducing 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 analyzed and required parameters are extracted successfully by the powerful image processing and computing capability of Matlab. This paper lays a foundation for accurate fire detecting. The experimental results show that the recognition method is reliable, small computational amount, fast operation and meets the need of realtime fire judging.

Key words: Matlab;detection of flame;image processing;characteristics of flame