Skip to main content Accessibility help
×
Home

Application of image processing based on multiple filters in an alignment system

  • Peiying Zeng (a1), Baoqiang Zhu (a1), De’an Liu (a1) and Jianqiang Zhu (a1)

Abstract

Beam alignment depends on CCD real-time image analysis and processing. In order to improve the quality of the alignment, multiple filters are used in far-field and near-field image processings. These multiple filters are constituted of an average filter and a median filter in different connection sequences, so that they can deal with different kinds of noise. To reduce the effect of the unknown nonlinear relationship between motor running steps and deviation pixels, a feasible methodology is offered to improve this phenomenon and a fuzzy algorithm is applied to the motor feedback control process. Because of the fuzzy control it is not necessary to establish an accurate mathematical model, so the impact of the nonlinear relationship will be reduced.

  • View HTML
    • Send article to Kindle

      To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle. Find out more about sending to your Kindle.

      Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

      Find out more about the Kindle Personal Document Service.

      Application of image processing based on multiple filters in an alignment system
      Available formats
      ×

      Send article to Dropbox

      To send this article to your Dropbox account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Dropbox.

      Application of image processing based on multiple filters in an alignment system
      Available formats
      ×

      Send article to Google Drive

      To send this article to your Google Drive account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your <service> account. Find out more about sending content to Google Drive.

      Application of image processing based on multiple filters in an alignment system
      Available formats
      ×

Copyright

The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution licence .

Corresponding author

Correspondence to: Peiying Zeng, PO Box 800-211, Shanghai 201800, China. Email: zeng_peiying@126.com

References

Hide All
1. Liu, F. Liu, Z. Zheng, L. Huang, H. and Zhu, J. High Power Laser 1, 29 (2013).
2. Mendoza, D. R. International Congress on Instrumentation in Aerospace Simulation Facilities (Pacific Grove, California, 1997), p. 22.
3. Faraji, H. and MacLean, W. J. Image Proc. IEEE 15, 2676 (2006).
4. Bose, T. Digital Signal and Image Processing (John Wiley & Sons Inc, New York, 2003).
5. Gupta, V. and Shandilya, M. International Conference on Engineering (Academic, Ahmedabad, 2012), p. 1.
6. Davies, E. R. IEE Proc. Vis. Image Signal Process. 146, 279 (1999).
7. Liu, L. and Kuang, G. Y. J. Image Grap. 14, 622 (2009).
8. Lv, F. N. Liu, D. Z. Xu, R. F. Cao, J. Z. and Fan, D. Y. Opt. Technol. 31, 335 (2005).
9. Liu, D. Ding, L. and Gao, Y. Chin. J. Lasers 36, 1101 (2009).
10. Lee, C. C. Syst. Man Cyber. 20, 404 (1990).
11. Kovacic, Z. and Bogdan, S. Fuzzy Controller Design Theory and Applications Y. Hu, L. Zhang, Y. Liu, and Y. Chen (trans.) (China Machine Press, Beijing, 2010).
MathJax
MathJax is a JavaScript display engine for mathematics. For more information see http://www.mathjax.org.

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed