English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 57042/90725 (63%)
造访人次 : 12462450      在线人数 : 94
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/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


    档案 描述 大小格式浏览次数
    Image-Based+Fire+Detection+Using+Neural+Networks_英文摘要.pdf58KbAdobe PDF81检视/开启



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈