Image-Based Fire Detection Using Neural Networks

淡江大學機構典藏 > 工學院 > 資訊工程學系暨研究所 > 會議論文 > Item 987654321/37480

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/37480

题名:	Image-Based Fire Detection Using Neural Networks
作者:	Horng, Wen-Bing;Peng, Jian-Wen
贡献者:	淡江大學資訊工程學系
关键词:	Burning degree estimation;Color masking;Fire flame detection;Neural network
日期:	2006-10
上传时间:	2010-01-11 13:33:13 (UTC+8)
摘要:	An image-based fire detection method using neural networks is proposed in this paper. First, flame color features, based on the HSI color model, are trained by a backpropagation neural network for flame recognition. Then, based on the learned flame color features, regions with fire-like colors are roughly separated from an image. Besides segmenting flame regions, background objects with similar fire colors or resulted from the reflection of fire flames are also separated from the image. In order to get rid of these spurious fire-like regions, the image difference method and the invented color masking technique are applied. Finally, a compact method is devised to estimate the burning degree of fire flames so that users could be informed with a proper warning alarm. The proposed system can achieve 96.47% fire detection rate on average.
關聯:	Proceedings of 9th Joint Conference on Information Sciences，4頁
显示于类别:	[資訊工程學系暨研究所] 會議論文

文件中的档案:

档案	描述	大小	格式	浏览次数
Image-Based+Fire+Detection+Using+Neural+Networks_英文摘要.pdf		58Kb	Adobe PDF	110	检视/开启
index.html		0Kb	HTML	163	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章