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A Fire Flame Recognition Algorithm Based on Video Features

Author: LiuZuoYu
Tutor: ShiLin
School: Xi'an University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: Fire detection Video feature Pattern Recognition Image processing
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 339
Quote: 13
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Abstract


This paper studies the the fire flame recognition method based on video characteristics . Using standard average method first color image of gray, gray histogram doublet selection threshold value then the image is binarized , using the closing operation communicates the suspicious target area , the target area in accordance with the order mark , and calculating a target area characterized parameters , the flame image recognition . Analysis , the static characteristics and dynamic characteristics of the flame and interference area of ??a region , the mean gray level , circular and qualitative heart change , through the test data analysis showed that the autocorrelation function of the fire area of ??the image sequence , the variance of the mean gray sequence circle shaped sequence of the mean value and autocorrelation function, a moving distance of the centroid and the interference difference is very obvious that on this basis the parameters of the five video dynamic characteristics as a flame recognition . On the basis of the analysis of statistical pattern recognition techniques and Bayesian classification using minimum error Bayesian decision theory design of classifiers , identify fire flame . The test results show that In this paper, the flame recognition parameters and identify methods to accurately identify the flame interference filter isolated bright spot and moving light source .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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