Skip to main content

Fuzzy C-Means Inspired Free Form Deformation Technique for Registration

  • Conference paper
Fuzzy Logic and Applications (WILF 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5571))

Included in the following conference series:

  • 932 Accesses

Abstract

This paper presents a novel method aimed to free form deformation function approximation for purpose of image registration. The method is currently feature-based. The algorithm is inspired to concepts derived from Fuzzy C-means clustering technique such as membership degree and cluster centroids. After algorithm explanation, tests and relative results obtained are presented and discussed. Finally, considerations on future improvements are elucidated.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 11(6), 567–585 (1989)

    Article  MATH  Google Scholar 

  2. Arad, N., Dyn, N., Reisfeld, D., Yeshurun, Y.: Image warping by radial basis functions: Application to facial expressions. Computer Vision, Graphics, and Image Processing. Graphical Models and Image Processing 56(2), 161–172 (1994)

    Article  Google Scholar 

  3. Sprengel, R., Rohr, K., Stiehl, H.S.: Keywords— thin-plate splines, regularization, image registration i. thin-plate spline interpolation

    Google Scholar 

  4. Bartoli, A., Perriollat, M., Chambon, S.: Generalized thin-plate spline warps. In: IEEE International Conference on Computer Vision and Pattern Recognition, cvpr (2007)

    Google Scholar 

  5. Johnson, H.J., Christensen, G.E., Sc, D.: Consistent landmark and intensity-based image registration. IEEE Transactions on Medical Imaging 21, 450–461 (2002)

    Article  Google Scholar 

  6. Bezdek, J.C.: Pattern Recognition with Fuzzy Objective Function Algorithms (Advanced Applications in Pattern Recognition). Springer, Heidelberg (1981)

    Book  MATH  Google Scholar 

  7. Cocosco, C.A., Kollokian, V., Kwan, R.K.-s., Pike, G.B., Evans, A.C.: Brainweb: Online interface to a 3d mri simulated brain database. In: NeuroImage, p. 425 (1997)

    Google Scholar 

  8. Kwan, R.K.S., Evans, A.C., Pike, G.B.: Mri simulation-based evaluation of image-processing and classification methods. IEEE Transactions on Medical Imaging 18(11), 1085–1097 (1999)

    Article  Google Scholar 

  9. Kwan, R.K.-S., Evans, A.C., Pike, G.B.: An extensible mri simulator for post-processing evaluation. In: Höhne, K.H., Kikinis, R. (eds.) VBC 1996. LNCS, vol. 1131, pp. 135–140. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  10. Collins, D.L., Zijdenbos, A.P., Kollokian, V., Sled, J.G., Kabani, N.J., Holmes, C.J., Evans, A.C.: Design and construction of a realistic digital brain phantom. IEEE Trans. Med. Imaging 17(3), 463–468 (1998)

    Article  Google Scholar 

  11. Wang, Z., Bovik, A.C., Sheikh, H.R., Member, S., Simoncelli, E.P., Member, S.: Image quality assessment: From error visibility to structural similarity. IEEE Transactions on Image Processing 13, 600–612 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ardizzone, E., Gallea, R., Gambino, O., Pirrone, R. (2009). Fuzzy C-Means Inspired Free Form Deformation Technique for Registration. In: Di Gesù, V., Pal, S.K., Petrosino, A. (eds) Fuzzy Logic and Applications. WILF 2009. Lecture Notes in Computer Science(), vol 5571. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02282-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02282-1_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02281-4

  • Online ISBN: 978-3-642-02282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics