NDLI: An improved algorithm for smoke layer identification in building fire condition

Content Provider	IEEE Xplore Digital Library
Author	Shi Zhu Shaohua Mao Longhua Hu Long Wu
Copyright Year	2011
Description	Author affiliation: State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China (Shi Zhu; Shaohua Mao; Longhua Hu; Long Wu)
Abstract	The smoke layer identification is an important issue in building fire hazard analysis. The existing ways of smoke layer recognition are reviewed, and a new smoke layer recognition means based on Otsu method and its 2D refinement are presented in this paper. All the methods are tested in an implementation case, and the obtained smoke layer regions are compared. The result indicates that the Otsu method is more adaptable and credible than the existing methods, and its 2D refinement inherits the advantages of original Otsu method, with enhanced capability of reflecting the smoke motion trends. The 2D Otsu method is suitable for smoke layer recognition.
Starting Page	410
Ending Page	413
File Size	799000
Page Count	4
File Format	PDF
ISBN	9781612841809
e-ISBN	9781612841816
DOI	10.1109/FSKD.2011.6019598
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature distribution Histograms smoke layer recognition Laboratories Fires fire hazard analysis Educational institutions 2D Otsu method building fire safety
Content Type	Text
Resource Type	Article

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