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基于图像处理的油脂烟点检测的算法设计
引用本文:陈滨,方杰,李明亮,严俊,李方洲. 基于图像处理的油脂烟点检测的算法设计[J]. 数字社区&智能家居, 2009, 0(36)
作者姓名:陈滨  方杰  李明亮  严俊  李方洲
作者单位:温州大学物理与电子信息学院电子信息工程系;
基金项目:浙江省科技厅新苗人才计划(2008R40G2250053)资助项目
摘    要:该文介绍一种新型的油脂烟点检测的算法设计,该设计基于图像处理技术,经平滑滤波后,通过差值提取放大,取出烟雾轮廓,根据提取烟雾的轮廓面积再次进行滤波,最后根据所得区域的高度判断烟雾的连续性,在累计连续6幅烟雾图像连续时,即判定为烟点。

关 键 词:图像处理  平滑滤波  阈值分割  区域形态学  烟点  

Algorithm Design Based Image Processing For the Detection of Oil Smoke Points
CHEN Bin,FANG Jie,LI Ming-liang,YAN Jun,LI Fang-zhou. Algorithm Design Based Image Processing For the Detection of Oil Smoke Points[J]. Digital Community & Smart Home, 2009, 0(36)
Authors:CHEN Bin  FANG Jie  LI Ming-liang  YAN Jun  LI Fang-zhou
Affiliation:CHEN Bin,FANG Jie,LI Ming-liang,YAN Jun,LI Fang-zhou(Wenzhou University college of Physics & Electronic Information,Wenzhou 325000,China)
Abstract:This paper presents a new type of oil smoke detection algorithm design,the design is based on image processing technology,by using the smoothing filter and the difference extracted by amplification,it will remove the smoke outline.Then the contours of an area under the extraction of smoke is filtered again,and finally in the light of the regional height to determine the continuity of the smoke,if the smoke in the cumulative six consecutive images continuously,that is determined to be smoke point.
Keywords:image processing  smoothing filter  thresholding  regional morphology  smoke point  
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