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作 者:邵珺[1,2] 叶景峰[2] 胡志云[2] 张振荣[2] 李国华[2] 李景银[1] SHAO Jun;YE Jing-feng;HU Zhi-yun;ZHANG Zhen-rong;LI Guo-hua;LI Jing-yin(School of Energy and Power Engineering,Xi’an Jiaotong University,Xi’an 710049,China;The State Key Laboratory of Laser Interaction with Matter,Northwest Institute of Nuclear Technology,Xi’an 710024,China)
机构地区:[1]西安交通大学能源与动力学院,西安710049 [2]西北核技术研究所激光与物质相互作用国家重点实验室,西安710024
出 处:《光子学报》2019年第9期171-179,共9页Acta Photonica Sinica
基 金:The National Natural Science Foundation of China(Nos.91541203,91641112,91752107);the Foundation of State Key Laboratory of Laser Interaction with Matter(No.SKLLIM1808)
摘 要:针对羟基示踪测速技术在超燃流场应用中测量图像受复杂背景干扰严重的问题,提出一种提高信号提取能力的方法.该方法通过三个步骤实现信号提取能力的提升:利用霍夫变换进行信号识别;基于感兴趣区域的大津阈值算法进行图像分割;结合骨架提取和方向模板方法进行标记线提取.在此基础上,结合仿真和实验,验证了该方法可提高超燃复杂背景干扰下的信号提取能力,解决了提取羟基有效信号精度不够的问题.A new approaches of Hydroxyl Tagging Velocimetry(HTV)in the application of supersonic combustion flow field signal extraction from images with strong background noise was proposed.These approaches are consisted of three steps:signal recognition through Hough transformation processing,image segmentation using maximum between-duster variance algorithm based on Region of Interest(ROI),and tagging line extraction using a process combining skeleton extraction and direction template.Based on the above approaches,the image identification ability in the harsh combustion environment with strong background is improved,and the problem of insufficient accuracy in extracting hydroxyl effective signal is solved.
关 键 词:羟基示踪测速技术 速度测量 信号提取 超燃流场 骨架提取
分 类 号:TN249[电子电信—物理电子学]
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