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Smoke Detection Method of Color Image Using Object Block Ternary Pattern  

Lee, Yong-Hun (공주대학교 전기전자제어공학부)
Kim, Won-Ho (공주대학교 전기전자제어공학부)
Publication Information
Journal of Satellite, Information and Communications / v.9, no.4, 2014 , pp. 1-6 More about this Journal
Abstract
Color image processing based on smoke detection is suitable detecting target to early detection of fire smoke. A method for detecting the smoke is processed in the pre-processing movement and color. And Next, characteristics of smoke such as diffusion, texture, shape, and directionality are used to post-processing. In this paper, propose the detection method of density distribution characteristic in characteristics of smoke. the generate a candidate regions by color thresholding image in Detecting the movement of smoke to the 10Frame interval and accumulated while 1second image. then check whether the pattern of the smoke by candidate regions to applying OBTP(Object Block Ternary Pattern). every processing is Block-based processing, moving detection is decided the candidate regions of the moving object by applying an adaptive threshold to frame difference image. The decided candidate region accumulates one second and apply the threshold condition of the smoke color. make the ternary pattern compare the center block value with block value of 16 position in each candidate region of the smoke, and determine the smoke by compare the candidate ternary pattern and smoke ternary pattern.
Keywords
OBTP; Smoke; Detection; Diffusion; Density distribution;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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