An image-based fire detection method using color analysis

In this paper, an image-based flame pixel detection method is proposed. Based on detailed observation of the color distribution in RGB space, an algorithm to extract the candidate flame pixels is proposed. After removing the falsely extracted fire-like pixels, we restore the mistakenly removed flame...

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Bibliographic Details
Published in2012 International Conference on Computer Science and Information Processing (CSIP) pp. 1008 - 1011
Main Authors Jing Shao, Guanxiang Wang, Wei Guo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2012
Subjects
color analysis
feature extraction
fire detection
Fires
region reconstruction
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Summary:In this paper, an image-based flame pixel detection method is proposed. Based on detailed observation of the color distribution in RGB space, an algorithm to extract the candidate flame pixels is proposed. After removing the falsely extracted fire-like pixels, we restore the mistakenly removed flame faults and holes and reconstruct the flame region. The experimental results are compared with other methods. It shows a higher accuracy and robustness of fire detection by our proposed method. A high accuracy is necessary and important for the next step to detect fire dynamic features.
ISBN:1467314102
9781467314107
DOI:10.1109/CSIP.2012.6309027