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Fire detection by the static image characteristics of the light blue flame using ROI-based color intensity composition detection algorithm
http://hdl.handle.net/20.500.12678/0000007598
http://hdl.handle.net/20.500.12678/00000075985674eec5-4a12-4725-9e4d-374d3f5d3f8a
52d86189-2c92-4dfb-887a-5cf49b37da23
Name / File | License | Actions |
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Publication type | ||||||
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Journal article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Fire detection by the static image characteristics of the light blue flame using ROI-based color intensity composition detection algorithm | |||||
Language | en | |||||
Publication date | 2011-12-01 | |||||
Authors | ||||||
Aung Kyaw Soe, Zhang Xianku | ||||||
Description | ||||||
A new ROI-based fire detection method by using the static image characteristics of the light blue flame is proposed. The image in realtime is sampled, grabbed in the memory and fire suspected regions are defined by using the region of interest (ROI) technique. |
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Keywords | ||||||
: fire detection algorithm, blue flame recognition, static image processing, Fire RGB color model, ROI based fire detection | ||||||
Identifier | Engineering Index (EI) | |||||
Journal articles | ||||||
Number 12 | ||||||
ICIC Express Letters | ||||||
pp – 4479-4486 | ||||||
Volume 5 |