Digital image processing based fire flame color and oscillation frequency analysis

摘要：

　　Two distinctive fire flame characteristics,i.e.,color information and flickering are discussed in this paper to provide basic criteria to improve the anti-jamming ability and reliability of the video flame detection technology in complex scenes.An effective real-time flame color detection criterion is firstly proposed by the method of two-dimensional color space reconstruction and saturation fitting for the manually collected flame-pixel sample database.The flame size and accumulated gray value are then extracted to construct the time series of video sequences of four combustion experiments.At last,the oscillation frequency of the flame flickering is calculated by performing the Fourier Transform for these time series.It is found that oscillation frequencies are in good agreement with the ones calculated by Pagnis law.The results of this paper can be used as bases of multi-feature fusion video flame detection method.

关键词： flame detection color analysis oscillation frequency fourier transform

作者: CHEN Juan BAO Qifu

作者单位: Zhejiang Key Laboratory of Safety Engineering and Technology,Zhejiang Institute of Safety Science and Technology,Hangzhou 310012,China

会议类型: 国际会议

会议名称: 2012 International Symposium on Safety Science and Technology (2012安全科学与技术国际会议)

会议地点: 南京

会议语种:英文

页码: 595-601

在线出版日期: 2012-10-23（万方平台首次上网日期，不代表论文的发表时间）