期刊名称：International Journal of Computer Information Systems and Industrial Management Applications
印刷版ISSN：2150-7988
电子版ISSN：2150-7988
出版年度：2013
卷号：5
页码：235-242
出版社：Machine Intelligence Research Labs (MIR Labs)
摘要：This paper presents a novel approach for visual fire detection by modelling the spatial structure of fire, this struc- ture is considered in terms of the color intensity of fire-color pixels. To model this structure, the authors uses an interval type-2 fuzzy clustering algorithm with some modification to sep- arate fire-color pixels into some clusters, then these clusters are used to model the structure of fire. Experimental results show that our method is capable of detecting fire in early state and in the weak light-intensity environment. In addition, this method evaluates the structure of fire from a single image, so it can be integrated into the surveillance system or applied in automated retrieval of events in newscast videos in which the camera is dy- namic.
关键词：Visual fire detection; type-2 fuzzy clustering; type-2 ; fuzzy sets
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