DocumentCode :
1412426
Title :
An Autoadaptive Edge-Detection Algorithm for Flame and Fire Image Processing
Author :
Qiu, Tian ; Yan, Yong ; Lu, Gang
Author_Institution :
Control & Embedded Syst. Res. Group, Univ. of Kent, Canterbury, UK
Volume :
61
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1486
Lastpage :
1493
Abstract :
The determination of flame or fire edges is the process of identifying a boundary between the area where there is thermochemical reaction and those without. It is a precursor to image-based flame monitoring, early fire detection, fire evaluation, and the determination of flame and fire parameters. Several traditional edge-detection methods have been tested to identify flame edges, but the results achieved have been disappointing. Some research works related to flame and fire edge detection were reported for different applications; however, the methods do not emphasize the continuity and clarity of the flame and fire edges. A computing algorithm is thus proposed to define flame and fire edges clearly and continuously. The algorithm detects the coarse and superfluous edges in a flame/fire image first and then identifies the edges of the flame/fire and removes the irrelevant artifacts. The autoadaptive feature of the algorithm ensures that the primary symbolic flame/fire edges are identified for different scenarios. Experimental results for different flame images and video frames proved the effectiveness and robustness of the algorithm.
Keywords :
edge detection; fires; flames; autoadaptive edge-detection algorithm; boundary identification processing; computing algorithm; early fire detection; fire evaluation; fire image processing; fire parameter; flame determination; flame edge identifcation; flame image processing; image-based flame monitoring; irrelevant artifact removal; primary symbolic flame-fire edge; thermochemical reaction; Detectors; Fires; Image edge detection; Least squares approximation; Shape; Streaming media; Edge detection; feature extraction; fire; flame; image edge analysis; image processing; monitoring; shape measurement;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/TIM.2011.2175833
Filename :
6119219
Link To Document :
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