Skip to main content

Automatic Fiber Detection and Focus System from Image Frames

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11742))

Included in the following conference series:

  • 3004 Accesses

Abstract

With technology accelerating dramatically, human has become able to generate automated equipment for dealing with complex situations. At the same time, image processing has also been applied into lots of fields. This paper proposed a framework that providing an automatic fiber detection and focusing system, and the result shows that it performs a good accuracy and cost a low computation at the same time.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Smith, D., Dieterly, D.L.: Automation literature: a brief review and analysis. NASA Technical Memorandum 81245, NASA:NASA (1980)

    Google Scholar 

  2. Yuen, H.K., et al.: A comparative study of Hough transform methods for circle finding. In: Proceedings of the Alvey Vision Conference, ALVEY, pp. 169–174 (1989)

    Google Scholar 

  3. Wang, J.: Analogue winner-take-all neural networks for determining maximum and minimum signals. Int. J. Electron. 77(3), 355–367 (1994)

    Article  Google Scholar 

  4. Haritaoglu, I., Harwood, D., Davis, L.: A real time system for detecting and tracking people. In: Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, pp. 15–64 (1999)

    Google Scholar 

  5. Conci, A., de Carvalho, J.E.R., Rauber, T.W.: A complete system for vehicle plate localization segmentation and recognition in real life scene. IEEE Lat. Am. Trans. 7(5), 497–506 (2009)

    Article  Google Scholar 

  6. Yeasin, M., Chaudhuri, S.: Development of an automated image processing system for kinematic analysis of human gait. Real-Time Imag. 6(1), 55–67 (2000)

    Article  Google Scholar 

  7. Abras, S., Ploix, S., Pesty, S., Jacomino, M.: A multi-agent home automation system for power management. In: Cetto, J.A., Ferrier, J.L., Costa dias Pereira, J., Filipe, J. (eds.) Informatics in Control Automation and Robotics. LNEE, vol. 15, pp. 59–68. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-79142-3_6

    Chapter  MATH  Google Scholar 

  8. Foresti, G.L., Micheloni, C., Snidaro, L., et al.: Active video-based surveillance system: the low-level image and video processing techniques needed for implementation. IEEE Signal Process. Mag. 22(2), 25–37 (2005)

    Article  Google Scholar 

  9. Lim, S.N., Davis, L.S., Elgammal, A.: A scalable image-based multi-camera visual surveillance system. In: IEEE Conference on Advanced Video & Signal Based Surveillance. IEEE Computer Society (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Wei Quan , Haibing Zhang or Naoyuki Kubota .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Quan, W., Zhang, H., Kubota, N. (2019). Automatic Fiber Detection and Focus System from Image Frames. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11742. Springer, Cham. https://doi.org/10.1007/978-3-030-27535-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-27535-8_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27534-1

  • Online ISBN: 978-3-030-27535-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics