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Analysis on Optimal Threshold Value for Infrared Video Flame Detection  

Jeong, Soo-Young (공주대학교 전기전자제어공학부)
Kim, Won-Ho (공주대학교 전기전자제어공학부)
Publication Information
Journal of Satellite, Information and Communications / v.8, no.4, 2013 , pp. 100-104 More about this Journal
Abstract
In this paper, we present an optimal threshold setting method for flame detection of infrared thermal image. Conventional infrared flame detection methods used fixed intensity threshold to segment candidate flame regions and further processing is performed to decide correct flame detection. So flame region segmentation step using the threshold is important processing for fire detection algorithm. The threshold should be change in input image depends on camera types and operation conditions. We have analyzed the conventional thresholds composed of fixed-intensity, average, standard deviation, maximum value. Finally, we extracted that the optimal threshold value is more than summation of average and standard deviation, and less than maximum value. it will be enhance flame detection rate than conventional fixed-threshold method.
Keywords
Infrared Video Surveillance; Flame Detection; Optimal Threshold; Infrared Image Processing; Digital signal processing;
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