Skip to main content

Vision Based Measurement System to Quantify Straightness Defect in Steel Sheets

  • Conference paper
  • First Online:
Book cover Computer Analysis of Images and Patterns (CAIP 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2124))

Included in the following conference series:

Abstract

A non-uniform distribution of rolling pressure during steel lamination may produce flatness asymmetries in the steel sheets, causing a certain curvature on its edges. This deformation may cause stoppages in the rolling process, and damages in the machinery. A computer vision system for measuring this straightness defect is presented. This system shows the adaptation of well-known computer vision techniques to fit precision and real-time constraints. Some problems that arise during the implementation phase are also described, and the correspondent solutions outlined.

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. Semple, J., Kneebone, G.: Algebraic Projective Geometry. Oxford University Press (1979)

    Google Scholar 

  2. Faugeras, O. D.: Three-Dimensional Computer Vision: A Geometric Viewpoint. MIT Press, Cambridge (MA) (1993)

    Google Scholar 

  3. Press, W. H., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P.: Numerical Recipes in C: The Art of Scientific Computing, Second Edition. Cambridge University Press.

    Google Scholar 

  4. Canny, J.: A Computational Approach to Edge Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-8 (1986) 679–698

    Article  Google Scholar 

  5. Gonzalez, R. C., Woods, R. E.: Digital Image Processing. Addison-Wesley, Reading (MA) (1992)

    Google Scholar 

  6. Pitas, I.: Digital Image Processing Algorithms. Prentice Hall (1992)

    Google Scholar 

  7. Devernay, F.: A Non-Maxima Suppression Method for Edge Detection with Sub-Pixel Accuracy, Programme 4-Robotique, image et vision, Project Robotvis. Rapport de recherche nℴ2724, INRIA (1995)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

González, R.C., Valdés, R., Cancelas, J.A. (2001). Vision Based Measurement System to Quantify Straightness Defect in Steel Sheets. In: Skarbek, W. (eds) Computer Analysis of Images and Patterns. CAIP 2001. Lecture Notes in Computer Science, vol 2124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44692-3_52

Download citation

  • DOI: https://doi.org/10.1007/3-540-44692-3_52

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42513-7

  • Online ISBN: 978-3-540-44692-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics