[1]李昂,王秋生,张蓓.表面等离子体共振后焦面吸收谱识别方法研究[J].应用科技,2019,46(02):65-70.[doi:10.11991/yykj.201807005]
 LI Ang,WANG Qiusheng,ZHANG Bei.Study on identification method of surface plasmon resonance absorb spectrum in back focal plane[J].Applied science and technology,2019,46(02):65-70.[doi:10.11991/yykj.201807005]
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表面等离子体共振后焦面吸收谱识别方法研究(/HTML)
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
第46卷
期数:
2019年02期
页码:
65-70
栏目:
自动化技术
出版日期:
2019-03-05

文章信息/Info

Title:
Study on identification method of surface plasmon resonance absorb spectrum in back focal plane
作者:
李昂12 王秋生1 张蓓1
1. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191;
2. 北京航空航天大学 中法工程师学院, 北京 100191
Author(s):
LI Ang12 WANG Qiusheng1 ZHANG Bei1
1. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
2. Sino-French Engineer School, Beihang University, Beijing 100191, China
关键词:
表面等离子体共振|后焦面|吸收谱|识别|霍夫变换|形态学|最小二乘法
Keywords:
surface plasmon resonance|back focal plane|absorb spectrum|identification|Hough transform|morphology|least square method
分类号:
TP391
DOI:
10.11991/yykj.201807005
文献标志码:
A
摘要:
表面等离子体共振(SPR)技术作为一种检测方法,具有高精度和高实时性的特点。基于表面等离子体共振检测系统,通过识别表面等离子体共振后焦面图像中的吸收谱,检测材料特性。吸收谱识别方法主要是手动勾画或一维灰度统计,这2种方法均无法在强噪声背景下对大批量后焦面图像进行有效识别。针对这一问题,基于霍夫变换、形态学与最小二乘法,提出了一种高效的吸收谱识别方法,在含有强噪声的表面等离子共振后焦面图像识别问题中有着很好的表现。这种方法弥补了现有方法的不足,为表面等离子体共振后焦面吸收谱识别问题提供了一种全新的思路。
Abstract:
Surface plasmon resonance (SPR) technology is a detection method with high precision and high real-time characteristics. A surface plasmon resonance-based detection system detects material properties by identifying an absorption spectrum in a surface plasmon resonance back focal plane image. The absorption spectrum identification method is realized mainly by manual drawing or one-dimensional gray scale statistics. These two methods can’t effectively identify large-scale back focal plane images under strong noise background. To solve this problem, this paper proposes a high-efficiency absorption spectrum identification method based on Hough transform, morphology and least squares method, which has good performance in the image recognition problem of focal plane after plasmon resonance with strong noise. This method makes up for the shortcomings of existing methods and provides a new idea for the absorption spectrum identification of surface plasmon resonance.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2018-07-06。
基金项目:国家自然科学基金青年科学基金项目(61405006)
作者简介:李昂,男,硕士研究生;王秋生,男,副教授,博士
通讯作者:李昂,E-mail:ecnantes.ang@gmail.com
更新日期/Last Update: 2019-03-06