[1]郭泉良,龙井华,白雁力,等.电子束莫尔条纹的智能提取及其特征参数分析[J].深圳大学学报理工版,2018,35(1):35-38.[doi:10.3724/SP.J.1249.2018.01035]
　GUO Quanliang,LONG Jinghua,BAI Yanli,et al.Automatic extraction and characteristic parameter analysis of electron beam moiré fringe[J].Journal of Shenzhen University Science and Engineering,2018,35(1):35-38.[doi:10.3724/SP.J.1249.2018.01035]
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电子束莫尔条纹的智能提取及其特征参数分析()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第35卷
期数:
2018年第1期
页码:
35-38
栏目:
光电工程
出版日期:
2018-01-12

文章信息/Info

Title:
Automatic extraction and characteristic parameter analysis of electron beam moiré fringe
文章编号:
201801006
作者:
郭泉良1; 龙井华2; 白雁力1; 廖昱博1; 陈家堉1; 付文勇1; 刘进元1
1）深圳大学光电工程学院，广东深圳 518060
2）深圳大学物理与能源学院，广东深圳 518060
Author(s):
GUO Quanliang1;  LONG Jinghua2;  BAI Yanli1;  LIAO Yubo1;  CHEN Jiayu1;  FU Wenyong1;  and LIU Jinyuan1
1) College of Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
2) College of Physics and Energy, Shenzhen University, Shenzhen 518060, Guangdong Province, P.R.China
关键词:
核仪器仪表; 超快诊断技术; 短磁聚焦分幅变像管; 电子束莫尔条纹; 巴特沃斯滤波器; 区域匹配算法
Keywords:
nuclear instrumentation;  ultrafast diagnostic technique;  short magnetic-focused framing tube;  electron beam moiré fringe;  Butterworth’s pass filter;  regional matching algorithm
分类号:
TN 143；O 536
DOI:
10.3724/SP.J.1249.2018.01035
文献标志码:
A
摘要:
电子束莫尔条纹的强度、角度、距离和线宽等特征参数是分析短磁聚焦分幅变像管成像性能，探讨像管空间分辨性能提升的重要信息．为提升莫尔条纹的提取和参数分析效率，采用巴特沃斯低通滤波器、阈值选取算法和区域匹配算法，通过Matlab的GUI界面对条纹提取和参数分析，实现了智能操作和批处理．研究结果显示，电子束莫尔条纹信息的提取时间为~12 s，莫尔条纹倾斜角度和间距的提取结果与人工操作的差异分别仅为~1.75 %和~3.13%．该方法可实现条纹信息的批处理，有效提升海量信息中电子束莫尔条纹的提取及其参数分析效率，为研究短磁聚焦分幅变像管的空间分辨性能提供可靠数据．
Abstract:
The intensity, angle, interval, and linewidth of the electron beam moiré fringe are important characteristic parameters for analyzing the imaging performance of the short magnetic-focused framing tube and exploring the method of improving the spatial resolution of the tube. In order to improve the efficiency of the extraction and parameter analysis of the moiré fringe, Butterworth’s low-pass filter, threshold selection algorithm and region matching algorithm are integrated in the Matlab GUI window for fringe extraction and parameter analysis, which enables an intelligent batch processing. The experimental results show that the extraction time of the moiré fringe information is about 12 s, and the differences between the extraction results of the angle and interval of the moiré fringes and the corresponding manual operation results are only about 1.75% and 3.13%, respectively. This method can realize the batch processing of the fringe information, effectively improve the extraction of the electron beam moiré fringes and the efficiency of parameter analysis in mass information, and provide reliable data for studying the spatial resolution characteristic of the short magnetic-focused framing tube.

参考文献/References:

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备注/Memo

备注/Memo:
Received：2017-06-05；Accepted：2017-06-28
Foundation：National Natural Science Foundation of China（11305107）；Shenzhen Science and Technology Research Foundation（JCYJ20160608173121055，JCYJ20170302153912966）
Corresponding author：Associate professor LONG Jinghua．E-mail: jhlong@szu.edu.cn
Citation：GUO Quanliang, LONG Jinghua, BAI Yanli, et al. Automatic extraction and characteristic parameter analysis of electron beam moiré fringe［J］. Journal of Shenzhen University Science and Engineering, 2018, 35(1): 35-38.（in Chinese）
基金项目：国家自然科学基金资助项目（11305107）；深圳市科技计划资助项目（JCYJ20160608173121055，JCYJ20170302153912966）
作者简介：郭泉良(1993—)，男，深圳大学硕士研究生．研究方向：超快诊断及测试．E-mail：2414886812@qq.com
引文：郭泉良，龙井华，白雁力，等．电子束莫尔条纹的智能提取及其特征参数分析［J］. 深圳大学学报理工版，2018，35(1)：35-38.
更新日期/Last Update: 2017-12-22