Abstract
In this paper, RGB to gray, binaryzation and morphological close operation are used for fire flame images processing. The area, mean gray, circularity between fire flame and interference image are analyzed then. It is found in the experimental data that the differences among the autocorrelation function of the area sequence, the variance of the mean gray sequence, the mean v and autocorrelation function of the circularity sequence of the fire flame and these of interferences is sensible. On this basis, using of these four video dynamic features as fire identification parameters is proposed. It shows in the experimental results that the image processing method and fire dynamic featuresdescribed in this paper can identify fire flame correctly, reducing false alarm rate and false dismissal rate.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yamagishi, H., Yanmaguchi, J.: Fire flame detection algorithm using a color camera. In: Proceeding of 1999 International Symposium on Micromechatronics and Human Science, Nagoya, Japan, pp. 255–260 (1999)
Noda, S., Ueda, K.: Fire detection in tunnels using an image processing method. In: Proceeding of Vehicle Navigation and Information Systems Conference, Yokohama, Japan, pp. 57–62 (1994)
Longbiao, W., Weiguo, S., Jiecheng, L.: A New Fire Recognition Method in Image Fire Monitoring. Fire Safety Science 6(2), 61–65 (1997)
Weiguo, S., Weicheng, F., Weicheng, F., Longbiao, W.: BP Networks Based Image Fire Detection Method. Fire Safety Science 7(3), 49–56 (1999)
Zhiwei, A., Hongyong, Y.: Data Collection on the research of Fire Flash Frequency. Fire Safety Science 9(2), 43–47 (2000)
Jingrong, Z.: An Image Processing-Based Fire Detection System. Coal Mine Modernization 3, 31–33 (2005)
Ting, L.: An analysis Based on Image Fire Detection. Information Technology 11, 35–37 (2006)
Fan, Y.: Digital Image Processing and Analysis, pp. 217–218. Beijing University of Aeronautics and Astronautics Press, Beijing (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shi, L., Liu, X., Liu, P. (2009). An Analysis of Fire Frame Processing and Video Dynamic Features. In: Hua, A., Chang, SL. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2009. Lecture Notes in Computer Science, vol 5574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03095-6_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-03095-6_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03094-9
Online ISBN: 978-3-642-03095-6
eBook Packages: Computer ScienceComputer Science (R0)