Filtering of UV images of UV-Vis dual-band imaging system

CHEN Tao; LI Jian-ping; XING Sheng; DONG Yu-ming; JIAO Guo-hua

doi:10.3788/OPE.20172513.0325

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Filtering of UV images of UV-Vis dual-band imaging system

更新时间：2020-08-13

- Filtering of UV images of UV-Vis dual-band imaging system
- Optics and Precision Engineering Vol. 25, Issue 10s, Pages: 325-331(2017)
- 作者机构：
  
  1. 中国科学院深圳先进技术研究院,广东深圳,518055
  2. 中国科学院大学深圳先进技术研究院,广东深圳,518055
  3. 北京市供用电建设承发包有限公司北京,100062
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20172513.0325
  CLC： TP391.41
- Received：28 June 2017，
  
  Revised：11 July 2017，
  
  Published：25 November 2017
- 稿件说明：
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陈涛, 李剑平, 邢胜等. 紫外-可见双光谱成像系统的紫外图像滤波[J]. 光学精密工程, 2017,25(10s): 325-331

CHEN Tao, LI Jian-ping, XING Sheng etc. Filtering of UV images of UV-Vis dual-band imaging system[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 325-331
陈涛, 李剑平, 邢胜等. 紫外-可见双光谱成像系统的紫外图像滤波[J]. 光学精密工程, 2017,25(10s): 325-331 DOI： 10.3788/OPE.20172513.0325.

CHEN Tao, LI Jian-ping, XING Sheng etc. Filtering of UV images of UV-Vis dual-band imaging system[J]. Editorial Office of Optics and Precision Engineering, 2017,25(10s): 325-331 DOI： 10.3788/OPE.20172513.0325.

摘要

为了降低紫外-可见双光谱成像系统的可见图像与紫外图像配准过程中的图像噪声，提高图像配准精度，设计了基于相关运算的紫外图像滤波算法。首先，分析了紫外图像噪声的来源和特性，确定噪声的类型。然后，利用一个连续的掩模与紫外图像进行相关运算，通过设定合适的阈值来滤除噪声。最后，通过与几种滤波算法的滤波结果的比较来验证该算法的性能，并通过检测紫外图像中标定板的角点特征来进一步验证该滤波算法的效果。实验结果表明，与另外几种滤波方法相比，通过相关性滤波后的紫外图像的峰值信噪比（PSNR）最大，为45.31 dB，通过matlab编写滤波程序的运行时间为0.57 s。利用Shi-Tomasi算法能够检测出紫外图像中标定板的全部角点。因此，该滤波算法有较好的滤波效果，运算速度较快，对图像本身的信息损失小，能够满足高精度图像配准的要求。

Abstract

In order to reduce image noise and improve registration accuracy in visible and UV image registration of UV-Vis dual-band imaging system

a UV image filtering algorithm based on correlation operation was designed. Firstly

the type of noise was confirmed by analyzing sources and characteristics of UV image noise. Then

correlation operation was completed between UV image and a continuous mask

and the noise was eliminated through a suitable threshold. Finally

the algorithm was verified by comparing the result of correlation filtering and other filtering methods

and the effect of the correlation filtering algorithm was further verified by detecting the corner feature of calibration board in UV image. The experiments prove that the peak signal to noise ratio(PSNR) of filtered UV image is 45.31 dB by correlation filter

and it's running time is 0.57 s measured by matlab. Furthermore

the corner feature of calibration board in UV image was detected throughly by Shi-Tomasi algorithm. Therefore

the correlation filter can eliminate the noise of UV image with high-speed and less pixel loss

which can satisfy the requirement of high accuracy image registration.

关键词

Keywords

references

王保华,李妥妥,郑国宪.日盲紫外探测系统研究[J]. 激光与光电子学进展,2014,51(2):155-160. WANG B H, LI T T, ZHENG G X. Research of solar blind ultraviolet detection system[J]. Laser & Optoelectronic Progress, 2014, 51(2):155-160. (in Chinese)

张海峰,庞其昌,陈秀春. 高压电晕放电特征及其检测[J]. 电测与仪表,2006,43(2):6-8. ZHANG H F, PANG Q CH, CHEN X CH. The characteristics of high-voltage corona and it's detection[J]. Electrical Measurement & Instrumentation, 2006, 43(2):6-8. (in Chinese)

邵进,胡武炎,贾凤鸣,等. 红外热成像技术在电力设备状态检修中的应用[J]. 高压电气, 2013(1):126-129. SHAO J, HU W Y, JIA F M, et al.. Application of infrared thermal imaging technology to condition-based maintenance of power equipment[J]. High Voltage Apparatus, 2013(1):126-129. (in Chinese)

LIU S, HUANG D, ZHANG Y, et al.. Research on ultraviolet detection of insulator corona discharge[C]. IEEE International Conference on Mechatronics and Automation, IEEE, 2014:1347-1352.

闫丰,于子江,于晓,等. 电晕探测紫外ICCD相机图像噪声分析与处理[J]. 光学精密工程,2006,14(4):709-713. YAN F, YU Z J, YU X, et al..Noise analysis and processing of ultraviolet ICCD for corona detection[J]. Opt.Pprecision Eng., 2006, 14(4):709-713. (in Chinese)

韦亚一,陶兆民. MCP噪声因子的理论分析[J]. 电子科学学刊,1993, 15(6):34-38. WEI Y Y, TAO ZH M. Theoretical analysis of MCP noise factor[J]. Journal of Electronics, 1993,15(6):34-38. (in Chinese)

YIN L M, ZHANG Y. Ultraviolet image processing method in corona detection[C]. International Workshop on Computer Science and Engineering. IEEE, 2009:327-331.

谢勤岚. 结合双边滤波和多帧均值滤波的图像降噪[J]. 计算机工程与应用,2009,45(27):154-156. XIE Q L. Image denoise combining bilateral and multi frame mean filtering[J]. Engineering and Applications, 2009,45(27):154-156. (in Chinese)

张瑞亮, 王鹏冲, 于瀛,等. 紫外图像处理方法[J]. 光电技术应用,2012,27(4):47-50. ZHANG R L, WANG P CH, YU Y, et al.. Research on ultraviolet image processing method[J]. Electro-Optic Technology Application, 2012, 27(4):47-50. (in Chinese)

JIAO G H, ZHANG Y ZH, DONG Y M, et al.. An optical system in solar-blind UV for corona discharge detection[C]. IEEE International Conference on Real-Time Computing and Robotics, IEEE, 2016.

刘军. 紫外双光谱检测系统及其图像融合研究[D]. 北京:中国科学院研究生院,2007. LIU J. Ultraviolet Double Spectrum Detection System and Image Fusion Research[D]. Beijing:Graduate University of the Chinese Academy of Sciences, 2007. (in Chinese)

JIANBO S, TOMASI C.Good features to track[C]. 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1994:593-600.

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