[1]乔元秀,程朋乐. 基于运动路径角的林火烟雾图像检测探究[J].西北林学院学报,2017,32(2):212-217.[doi:10.3969/j.issn.1001-7461.2017.02.36]
 QIAO Yuan-xiu,CHENG Peng-le. Forest Fire Smoke Detection Based on the Motion Path Angle[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2017,32(2):212-217.[doi:10.3969/j.issn.1001-7461.2017.02.36]
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 基于运动路径角的林火烟雾图像检测探究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第32卷
期数:
2017年第2期
页码:
212-217
栏目:
出版日期:
2017-03-31

文章信息/Info

Title:
 Forest Fire Smoke Detection Based on the Motion Path Angle
文章编号:
1001-7461(2017)02-0212-06
作者:
 乔元秀程朋乐
 (北京林业大学 工学院,北京 100083)
Author(s):
 QIAO Yuan-xiuCHENG Peng-le
 (College of Industry,Beijing Forestry University,Beijing 100083,China)
关键词:
 林火识别烟雾特征数字图像处理运动路径角
Keywords:
 forest fire detection smoke characteristics digital image processing path angle
分类号:
S762.32
DOI:
10.3969/j.issn.1001-7461.2017.02.36
文献标志码:
A
摘要:
 针对林火烟雾图像检测从图像信息中提取的特征,数据记录多,存储大,消耗运算速率的问题,提出了基于运动路径角的烟雾检测探究,对烟雾特征进行优化。在真实的森林环境下,用烟饼燃烧产生的烟雾模拟森林火灾初期产生的烟雾,用视频监控记录烟雾的运动,并且搜集不同情况下烟雾图像和不同情况下天空中云的图像,应用图像处理技术分别对烟雾和云图像进行处理和运动路径角计算,对比分析烟雾和云的运动路径角范围,烟雾独特的运动路径角可以作为识别烟雾的特征。在处理烟雾数据中,将图像包含的烟雾信息转换为烟雾的代数特征,较烟雾的颜色特征、纹理特征、运动面积等特征的提取,数据量减少,存储变小,耗时少。
Abstract:
 To solve the problems existed in the extraction of the characteristics from the smoke images of forest fire,such as image information redundancy,large storage,consumption of computing speed,this paper proposed a new way for forest fire smoke detection that was based on the motion path angle to optimize the characteristics of the smoke.In a real forest environment,smoke was produced by burning tobacco cake to simulate early forest fire smoke.Video surveillance was used to record the motion of smoke.Smoke images and images of cloud in the sky were collected under different circumstances.The motion path angle was calculated to find out the range of motion path angles of smoke and cloud which could be used as the identification feature of smoke.When dealing with smoke data,smoke image information was converted to algebraic characteristics of smoke.Compared to the extraction of other features,such as smoke color feature,texture feature,and moving area,the motion path angle based data extraction decreased the data amount and storage,and less time was needed to conduct calculation.

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备注/Memo

备注/Memo:
 收稿日期:2016-06-30修回日期:2016-11-07
基金项目:国家自然科学基金资助项目“基于激光与机器视觉技术的立木胸径检测方法研究”(31200431)。
作者简介:乔元秀,女,在读硕士,研究方向:现代检测与控制。E-mail:xiaoqiao201309@163.com
*通信作者:程朋乐,男,博士,副教授,研究方向:林业信息检测技术研究。E-mail:chengpengle@bjfu.edu.cn
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