中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Flame front detection by Line Enhance Active Contour from OH-PLIF images

文献类型:会议论文

作者Fan HJ(范慧杰); Dong W(董威); Tang YD(唐延东)
出版日期2010
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
关键词Edge detection Intelligent networks Intelligent systems
页码24-27
中文摘要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.
收录类别EI
产权排序1
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
语种英语
ISBN号978-0-7695-4249-2
源URL[http://ir.sia.cn/handle/173321/8716]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Fan HJ,Dong W,Tang YD. Flame front detection by Line Enhance Active Contour from OH-PLIF images[C]. 见:3rd International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2010. Shenyang, China. November 1-3, 2010.

入库方式: OAI收割

来源:沈阳自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。