Skip to main content

Computing Admissible Rotation Angles from Rotated Digital Images

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4958))

Abstract

Rotations in the discrete plane are important for many applications such as image matching or construction of mosaic images. In this paper, we propose a method for estimating a rotation angle such that the rotation transforms a digital image A into another digital image B. In the discrete plane, there are many angles that can give the rotation from A to B, called admissible angles for the rotation from A to B. For such a set of admissible angles, there exist two angles α 1,α 2 that are its upper and lower bounds. To find those upper and lower bounds, we use hinge angles as used in Nouvel and Rémila [5]. Hinge angles are particular angles determined by a digital image, such that any angle between two consecutive hinge angles gives the identical digital image after the rotation with the angle. Our proposed method obtains the upper and lower bounds of hinge angles from a given Euclidean angle and from a pair of digital images.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andres, E.: Cercles Discrets et Rotations Discrétes. Thesis, Université Louis Pasteur Strasbourg (1992)

    Google Scholar 

  2. Andres, E.: The Quasi-Shear Rotation. In: Miguet, S., Ubéda, S., Montanvert, A. (eds.) DGCI 1996. LNCS, vol. 1176, pp. 307–314. Springer, Heidelberg (1996)

    Google Scholar 

  3. Anglin, W.S.: Using Pythagorean triangles to approximate angles. American Mathematical Monthly 95, 540–541 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  4. Hansen, M., Anandan, P., Dana, K., van der Wal, G., Burt, P.: Real-time scene stabilization and mosaic construction. In: 2nd IEEE workshop on Applications of Computer Vision, pp. 54–64 (1994)

    Google Scholar 

  5. Nouvel, B., Rémila, E.: Incremental and transitive discretized rotations. In: Reulke, R., Eckardt, U., Flach, B., Knauer, U., Polthier, K. (eds.) IWCIA 2006. LNCS, vol. 4040, pp. 199–213. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Volder, J.E.: The CORDIC Trigonometric Computing Technique. IRE Transactions on Electronic Computers EC-8, 330–334 (1959)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Valentin E. Brimkov Reneta P. Barneva Herbert A. Hauptman

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Thibault, Y., Kenmochi, Y., Sugimoto, A. (2008). Computing Admissible Rotation Angles from Rotated Digital Images. In: Brimkov, V.E., Barneva, R.P., Hauptman, H.A. (eds) Combinatorial Image Analysis. IWCIA 2008. Lecture Notes in Computer Science, vol 4958. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78275-9_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78275-9_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78274-2

  • Online ISBN: 978-3-540-78275-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics