Skip to main content
Springer Nature Link
Log in

A Global Graph Model of Image Registration

  • Conference paper
  • First Online:
Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

Included in the following conference series:

  • 741 Accesses

Abstract

The global graph model of image registration is a new visual framework for understanding the relationships and merits between the wide variety of existing image registration methods. It is a global, dynamically updateable model of the state-of-the-art in image registration, which is designed to assist researchers in the selection of the optimal technique for a specific problem under investigation. Two-dimensional and three-dimensional graph display techniques are used in this paper to visualise the new model. The Virtual Reality Modeling Language (VRML) was found to provide a very suitable representation of such a 3-D graph model.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

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. L. G. Brown. A survey of image registration techniques. ACM Computing Surveys, 24(4):325–376, 1992.

    Article  Google Scholar 

  2. R. F. Cohen, P. Eades, T. Lin, and F. Ruskey. Three-dimensional graph drawing. In R. Tamassia and I. G. Tollis, editors, Graph Drawing (Proc. GD’ 94), volume 894 of Lecture Notes in Computer Science, pages 1–11. Springer-Verlag, 1995.

    Google Scholar 

  3. P. Eades and Q. Feng. Multilevel visualization of clustered graphs. In Graph Drawing’ 96 Proceedings. Springer-Verlag, 1996.

    Google Scholar 

  4. J. Ellson, E. Gansner, E. Koutsofios, and S. North. GraphViz: tools for viewing and interacting with graph diagrams. The GraphViz program is available at http://www.research.att.com/sw/tools/graphviz.

  5. K. M. Fairchild, S. T. Poltrock, and F. W. Furnas. SemNet: Three-Dimensional Graphic Representations of Large Knowledge Bases. Lawrence Erlbaum, 1988.

    Google Scholar 

  6. Qingwen Feng. Algorithms for Drawing Clustered Graphs. PhD thesis, University of Newcastle, Australia, April 1997.

    Google Scholar 

  7. A. Garg and R. Tamassia. GIOTTO3D: a system for visualizing hierarchical structures in 3D. In Graph Drawing’ 96 Proceedings. Springer-Verlag, 1996.

    Google Scholar 

  8. Cristian Ghezzi. A geometric approach to three-dimensional graph drawing. Technical report, Computation Dept, UMIST, Manchester, UK, 1997.

    Google Scholar 

  9. E. Koutsofios and S. C. North. Drawing graphs with dot. Technical report, AT&T Bell Laboratories, Murray Hill, NJ, USA, 1992.

    Google Scholar 

  10. J. B. A. Maintz and M. A. Viergever. A survey of medical image registration. Medical Image Analysis, 2(1):1–36, March 1998.

    Article  Google Scholar 

  11. C. R. Maurer and J. M. Fitzpatrick. A review of medical image registration. In R. J. Maciunas, editor, Interactive Image-Guided Neurosurgery, pages 17–44. American Assoc of Neurological Surgeons, 1993.

    Google Scholar 

  12. J. Le Moigne and R. F. Cromp. The use of wavelets for remote sensing image registration and fusion. Technical Report TR-96-171, NASA Goddard Space Flight Center, 1996.

    Google Scholar 

  13. S. G. Nikolov. A Global Graph Model of Image Registration. Technical Report UoB-SYNERGY-TR01, Image Communications Group, Centre for Communications Research, University of Bristol, May 1998.

    Google Scholar 

  14. S. G. Nikolov, M. Wolkenstein, H. Hutter, and M. Grasserbauer. EPMA and SIMS image registration based on their wavelet transform maxima. Technical Report TR-97, Vienna Univesity of Technology, Austria, 1997.

    Google Scholar 

  15. C. A. Pelizzari, D. N. Levin, G. T. Y. Chen, and C. T. Chen. Image registration based on anatomical surface matching. In Interactive Image-Guided Neurosurgery, pages 47–62. American Assoc of Neurological Surgeons, 1993.

    Google Scholar 

  16. G. G. Robertson, J. D. Mackinlay, and S. Card. Cone trees: Animated 3-D visualization of hierarchical information. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems. ACM, 1991.

    Google Scholar 

  17. C. Studholme, D. L. G. Hill, and D. J. Hawkes. Automated 3D registration of truncated MR and CT images of the head. In David Pycock, editor, Proc. of BMVA, pages 27–36, 1995.

    Google Scholar 

  18. P. A. van den Elsen, E. Pol, and M. Viergever. Medical image matching-a review with classification. Eng. Med. Biol., 12(1):26–39, March 1993.

    Article  Google Scholar 

  19. C. Ware, D. Hui, and G. Franck. Visualizing object oriented software in three dimensions. In CASCON 1993 Proceedings, 1993.

    Google Scholar 

  20. Y. Xiao and Milgram. Visualization of large networks in 3-D space: Issues in implementation and experimental evaluation. In CAS 1992 Proc., 1992.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Image Communications Group, Centre for Communications Research, University of Bristol, Merchant Venturers Building, Woodland Road, Bristol, BS8 1UB, UK

    S. G. Nikolov, D. R. Bull & C. N. Canagarajah

Authors
  1. S. G. Nikolov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. D. R. Bull
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. C. N. Canagarajah
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

Rights and permissions

Reprints and permissions

Copyright information

© 1999 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nikolov, S.G., Bull, D.R., Canagarajah, C.N. (1999). A Global Graph Model of Image Registration. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_42

Download citation

  • DOI: https://doi.org/10.1007/3-540-48762-X_42

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation