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核工业西南物理研究院 ›› 2023, Vol. 43 ›› Issue (4): 450-456.DOI: 10.16568/j.0254-6086.202304013

• 等离子体物理 • 上一篇    下一篇

EAST 装置高速 VUVI 系统对 ELM 丝状结构的边缘检测

邓荣婧 1 ,陈林飞 1 ,明廷凤*2,龙飞飞 3 ,李 邦 4 ,石奇奇 5 , 侯善伟 6 ,高善露 4 ,庄 清 4 ,刘晓菊 2 ,高 翔 2, 3, 4     

  1. (1. 杭州电子科技大学,杭州 310018; 2. 中国科学院等离子体物理研究所,合肥 230031; 3. 深圳大学,深圳 518060; 4. 中国科学技术大学,合肥 230026; 5. 南昌大学,南昌 330031; 6. 安徽大学,合肥 230601) 
  • 收稿日期:2022-02-25 修回日期:2023-05-12 出版日期:2023-12-15 发布日期:2023-12-07
  • 作者简介:邓荣婧(1996-),女,安徽合肥人,硕士研究生,主要从事高速真空紫外成像诊断系统 ELM 丝状结构相关分析。
  • 基金资助:
    国家磁约束核聚变能发展研究专项(2017YFE0301205) 

Edge detection of ELM filament structures by high-speed VUVI system on EAST

DENG Rong-jing1 , CHEN Lin-fei1 , MING Ting-feng2 , LONG Fei-fei3 , LI Bang4 , SHI Qi-qi5 , HOU Shan-wei6 , GAO Shan-lu4 , ZHUANG Qing4 , LIU Xiao-ju2 , GAO Xiang2, 3, 4   

  1. (1. Hangzhou Dianzi University, Hangzhou 310018; 2. Institute of Plasma Physics, Chinese Academy of Sciences, Hefei 230031; 3. Shenzhen University, Shenzhen 518060; 4. University of Science and Technology of China, Hefei 230026; 5. Nanchang University, Nanchang 330031; 6. Anhui University, Hefei 230601) 
  • Received:2022-02-25 Revised:2023-05-12 Online:2023-12-15 Published:2023-12-07

摘要: EAST 装置高速真空紫外成像(VUVI)诊断系统是边界局域模(ELM)二维丝状结构研究中的一项重要 诊断设备。受工作环境以及高速采集的影响,VUVI 系统丝状结构原始图像数据的信噪比相对较差。采用块匹配三维滤波(BM3D)算法、背景差分和数学形态学处理的方法对原始数据进行处理。使用 BM3D 算法去除所采集图像的噪声,增加信噪比;使用背景差分法提取丝状结构;采取数学形态学处理图像并获得丝状结构的边缘位置和倾斜角度。模拟与实验数据分析表明,该方法能有效提取 VUVI 诊断获得的丝状结构边缘细节,获得丝状结构倾 斜角等信息,并提高了实验数据的利用率。

关键词: VUVI 诊断系统, 图像处理, 丝状结构, 边缘检测

Abstract:  High-speed vacuum ultraviolet imaging (VUVI) system is an important diagnostic facility in the study of the two-dimensional filament structures of ELMs on EAST. Affected by the working environment and high-speed acquisition, the signal-noise ratio of the original image data of the filament structures from the VUVI system is relatively poor. In this paper, the original data are processed using block-matching and 3D filtering (BM3D) algorithm, background subtraction, and morphology processing. BM3D algorithm is used to remove the noise and increase the signal-noise ratio of the collected images. The filament structures are extracted by the background subtraction. The edge position and pitch angle of the filament structures are obtained through image processing by morphology. Simulation and experimental data analysis show that the proposed method can effectively extract the details of filament structures edge obtained by VUVI, obtain the information such as the pitch angle of filament structures, and improve the utilization rate of experimental data. 

Key words: VUVI diagnostic system, Image processing, Filament structure, Edge detection

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