Image-Based Fire Detection Using Neural Networks
學年 95
學期 1
發表日期 2006-10-08
作品名稱 Image-Based Fire Detection Using Neural Networks
作品名稱(其他語言)
著者 Horng, Wen-Bing; Peng, Jian-Wen
作品所屬單位 淡江大學資訊工程學系
出版者
會議名稱 9th Joint Conference on Information Sciences
會議地點 高雄, 臺灣
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.
關鍵字 Burning degree estimation;Color masking;Fire flame detection;Neural network
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20061008~20061011
通訊作者
國別 TWN
公開徵稿 Y
出版型式 紙本
出處 Proceedings of 9th Joint Conference on Information Sciences,4頁
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/37480 )

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