淡江大學機構典藏:Item 987654321/45276
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62822/95882 (66%)
造访人次 : 4017048      在线人数 : 557
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: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/45276


    题名: A Fast Image-Based Fire Flame Detection Method Using Color Analysis
    作者: Horng, Wen-bing;Peng, Jian-wen
    贡献者: 淡江大學資訊工程學系
    关键词: Color Analysis;Color Masking;Fire Burning Degree Estimation;Fire Flame Detection
    日期: 2008-09
    上传时间: 2010-08-10 10:57:10 (UTC+8)
    出版者: 臺北縣：淡江大學
    摘要: Fires usually cause serious disasters. Thus, fire detection has been an important issue to protect human life and property. In this paper, we propose a fast and practical real-time image-based fire flame detection method based on color analysis.We first build a fire flame color feature model based on the HSI color space by analyzing 70 training flame images. Then, based on the above fire flame color features model, regions with fire-like colors are roughly separated from each frame of the test videos. Besides segmenting fire flame regions, background objects with similar fire colors or caused by color shift resulted from the reflection of fire flames are also extracted from the image during the above color separation process. To remove these spurious fire-like regions, the image difference method and the invented color masking technique are applied. Finally, the fire flame burning degree is estimated so that users could be informed with a proper fire warning alarm. The proposed method was tested with twelve diverse fire flame videos on a Pentium 1.73 GHz processor, 512 MB RAM at the processing speed of 30 frames per second. The experimental results were quite encouraging. The proposed method could achieve more than 96 detection rate on the test videos on an average. In addition, the system could also correctly recognize fire flames within one second on the initial combustion from the
    test videos, which seems very promising.
    關聯: 淡江理工學刊=Tamkang Journal of Science and Engineering 11(3), pp.273-285
    DOI: 10.6180/jase.2008.11.3.06
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 大小格式浏览次数
    1560-6686_11(3)p273-285.pdf52482KbAdobe PDF366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

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