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.
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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
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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
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