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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
5674eec5-4a12-4725-9e4d-374d3f5d3f8a
52d86189-2c92-4dfb-887a-5cf49b37da23
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Dr. Dr. AKS Paper2.pdf (596 KB)
Publication type
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.
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
0
0
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