New algorithm of flame detection based on color features

作者：Geng Qing Tian; Yu Fan Hua; Zhao Hong Wei^*; Wang Chuang

来源：Journal of Jilin University (Engineering and Technology Edition), 2014, 44(6): 1787-1792.

DOI：10.13229/j.cnki.jdxbgxb201406038

• Computer vision techniques
• Detection models
• Flame detection
• Flame pixel classifications
• Harmful effects
• Hot research topics
• RGB Color Model
• YCbCr color models

Using computer vision techniques to achieve early fire detection is a hot research topic. In this paper, a candidate flame pixel classification algorithm is proposed based on color model. First, the features of the flame region in RGB and YCbCr color models are introduced. Then YCbCr model is used to build flame pixel detection model. In addition by converting the rules based on RGB color model into corresponding rules in YCbCr color model, new rules in YCbCr color model are developed, which can further alleviate the harmful effects of changing illumination. The method can be used for real-time fire detection.

• 出版日期2014