|本期目录/Table of Contents|

[1]朱磊.基于扩展分形特征的图像型火灾检测[J].中国安全生产科学技术,2013,9(4):27-31.[doi:10.11731/j.issn.1673-193x.2013.04.005]
　ZHU Lei.Algorithm for fire detection based on extended fractal feature[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2013,9(4):27-31.[doi:10.11731/j.issn.1673-193x.2013.04.005]
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基于扩展分形特征的图像型火灾检测
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
9
期数:
2013年4期
页码:
27-31
栏目:
学术论著
出版日期:
2013-04-30

文章信息/Info

Title:
Algorithm for fire detection based on extended fractal feature
作者:
朱磊
（郑州市公安消防支队,河南郑州450000）
Author(s):
ZHU Lei
（Zhengzhou Fire Detachment，Zhengzhou Henan 450000, China）
关键词:
火灾检测; 扩展分形特征; 颜色模型
Keywords:
fire detection; extended fractal feature; color model
分类号:
X932
DOI:
10.11731/j.issn.1673-193x.2013.04.005
文献标志码:
A
摘要:
针对火灾检测中存在的不稳定及误判率高的问题，提出一种基于扩展分形特征的图像型火灾检测算法。首先在图像的HSI颜色空间进行火焰疑似区域的分割，然后采用文中提出的扩展分形特征计算方法计算图像扩展分形特征，利用该特征对目标事物对比度和大小尺寸敏感的特性，对火焰区域进行再次分割，得到最后的火焰区域。实验结果表明，该算法运行效率较高、误报率较低，适用于多种场合的火灾检测。
Abstract:
Concerning the instability and high rate of erroneous recognition with traditional methods in fire detection. An algorithm for fire detection based on extended fractal feature was proposed. Firstly, fire-like regions was segmented according to H component and I component in HSI color space, Secondly, extended fractal feature was computed, the origin image was segmented according to extended fractal feature again. Finally a fire detection algorithm was provided. Experiments show that the proposed algorithm can detect the fire regions accurately.

参考文献/References:

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更新日期/Last Update: 2013-07-11