文章基本信息

标题：An Efficient Autoadaptive Edge Detection Approach for Flame and Fire Images
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作者：D. Baswaraj ; D. Swarna Sree ; Dr. A. Govardhan 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2013
卷号：5
期号：09
页码：823-829
出版社：Engg Journals Publications
摘要：The determination of flame or fire edges is the process of identifying a boundary between the area where there is thermo-chemical reaction and those without. It is a precursor to image-based flame monitoring, early fire detection, fire evaluation, 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 identifies 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 auto-adaptive feature of the algorithm ensures that the primary symbolic flame/fire edges are identified for different scenarios. As the algorithm works for luminous fire/flame images, it is enhanced to effectively detect the edges for non-superfluous images also. Experimental results for different flame images and video frames proved the effectiveness and robustness of the proposed algorithm with the adaption for non-superfluous images.
关键词：Edge detection; feature extraction; fire & flame images