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题名: Flame front detection by Line Enhance Active Contour from OH-PLIF images
作者: Fan HJ(范慧杰) ; Dong W(董威) ; Tang YD(唐延东)
作者部门: 机器人学研究室
会议名称: 3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010
会议日期: November 1-3, 2010
会议地点: Shenyang, China
会议主办者: Intelligent Networks and Systems Society; Shenyang Ligong University; National Neural Sciences Foundation of China; IEEE Wuhan Section; Chinese Academy of Science and Engineering in Japan
会议录: Proceedings - 3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010
会议录出版者: IEEE Computer Society
会议录出版地: Piscataway, NJ
出版日期: 2010
页码: 24-27
收录类别: EI
ISBN号: 9780769542492
关键词: Edge detection ; Intelligent networks ; Intelligent systems
摘要: This paper presents a new Line Enhance Active Contour model (LEAC model) to detect the flame front boundaries from high speed Planar Laser Induced Fluorescence (PLIF) images. The model first enhances the crack region and the gradient of flame front by the Line Enhance Filtering algorithm, and then extracts flame front boundaries and crake edges from the enhanced PLIF images using the CV model. We compared the LEAC model with the classical CV model on different PLIF images. Experimental results show that our model can detect the flame front accurately, and it has good performance on detecting the exact edges of long and narrow crack regions, where the classical CV model can not detect completely. Moreover, it is insensitive to image noise and curve initialization.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8716
Appears in Collections:机器人学研究室_会议论文

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