Skip to main content

The Hough Transform Application Including Its Hardware Implementation

  • Conference paper
Advanced Concepts for Intelligent Vision Systems (ACIVS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3708))

Abstract

This paper presents an application of the Hough transform to the tasks of identifying irregular patterns. The presented method is based on the Hough transform for irregular objects, with a parameter space defined by translation, rotation and scaling operations. The technique may be used in a robotic system, identification system or for image analysis, directly on grey-level images. An example application of the Hough transform to a robot monitoring within computer vision systems is presented. A hardware implementation of the Hough technique is introduced which accelerates the calculations considerably.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ballard, D.H.: Generalizing the Hough Transform to Detect Arbitrary Shapes. In: Readings in Computer Vision: Issues, Problems, Principles, and Paradigms, Los Altos, CA, pp. 714–725 (1987)

    Google Scholar 

  2. Deans, S.R.: Hough transform from the Radon transform. IEEE Transactions on Pattern Analysis and Machine Intelligence 3(2), 185–188 (1981)

    Article  Google Scholar 

  3. Fu, K.S., Gonzalez, R.C., Lee, C.S.G.: ROBOTICS: Control, Sensing, Vision, and Intelligence. McGraw-Hill, New York (1987)

    Google Scholar 

  4. Hough, P.V.C.: Method and means for recognizing complex patterns. U.S. Patent 3,069,654 (December 18, 1962)

    Google Scholar 

  5. Jain, A.K.: Fundamentals of Digital Image Processing. Prentice-Hall, New Jersey (1989)

    MATH  Google Scholar 

  6. Leavers, V.F.: Shape Detection in Computer Vision Using the Hough Transform. Springer, London (1992)

    Google Scholar 

  7. Zorski, W., Foxon, B., Blackledge, J., Turner, M.: Irregular Pattern Recognition Using the Hough transform. Machine Graphics & Vision 9, 609–632 (2000)

    Google Scholar 

  8. Zorski, W., Zak, A., Turner, M.: Hardware Implementation of the Hough Technique for Irregular Pattern Recognition. In: Proceedings of the 8th IEEE International Conference MMAR 2002, vol. 1, pp. 561–566 (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zorski, W. (2005). The Hough Transform Application Including Its Hardware Implementation. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_58

Download citation

  • DOI: https://doi.org/10.1007/11558484_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29032-2

  • Online ISBN: 978-3-540-32046-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics