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A Flame-Detection System Robust to Lighting and Environments  

Park, Jang-Sik (동의과학대학 디지털정보전자과)
Kim, Hyun-Tae (동의대학교 멀티미디어공학과)
Park, Soo-Chang (부산대학교 전자공학과)
Son, Kyung-Sik (부산대학교 전자공학과)
Publication Information
Fire Science and Engineering / v.22, no.1, 2008 , pp. 68-75 More about this Journal
Abstract
In this paper, we introduce a fire-detection system which is robust to light sources and environment changing. We can decide the threshold values that classify the regions between a fire flame and light sources by analyzing them in RGB color space. But we could not discriminate quasi-flame region from fire flame region with the value. The difference of mean-histogram technique make it possible to extract flame region more efficient because fire flame is continuously changing after it occurs. In order to validate real fire, this paper uses regional compactness in the end of process. Computer simulation show that proposed method make more robust to light sources and environment changing.
Keywords
Fire flame detection; RGB color space; Histogram; Dynamic variation;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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