Advertisement

Multiscale extraction of features from medical images

  • Márta Fidrich
  • Jean -Philippe Thirion
Posters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)

Abstract

We present a fast and reliable algorithm, based on iso-surface techniques, to extract differential invariant features at increasing scales. We show that it automatically finds the connection order of singularities, hence it is easy to follow features across scales. As an example, we visualize the orbits of corner points, and compare some criterions to measure their significance.

keywords

Scale space Iso-surface extraction Marching Lines algorithm Differential geometry Singularity theory 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Haruo Asada and Michael Brady. The curvature primal sketch. IEEE PAMI, 8, 1986.Google Scholar
  2. 2.
    Jean Babaud, Andrew P. Witkin, Michael Baudin, and Richard O. Duda. Uniqueness of the gaussian kernel for scale space filtering. IEEE PAMI, 8, Jan 1986.Google Scholar
  3. 3.
    Rachid Deriche. Recursively implementing the gaussian and its derivatives. Technical report, INRIA, 1993.Google Scholar
  4. 4.
    Márta Fidrich and Jean-Philippe Thirion. Multiscale representation and analysis of features from medical images. In N. Ayache, editor, International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, volume 905 of LNCS, pages 358–364, Nice, April 1995.Google Scholar
  5. 5.
    John M. Gauch and Stephen M. Pizer. Multiresolution analysis of ridges and valleys in grey-scale images. IEEE PAMI, 15, 1993.Google Scholar
  6. 6.
    Alan D. Kalvin. A survey of algorithms for constructing surfaces from 3d volume data. Technical Report RC 17600, IBM Research Division, January 1992.Google Scholar
  7. 7.
    Jan J. Koenderink. The structure of images. Biological Cybernetics, 50:363–370, 1984.Google Scholar
  8. 8.
    Tony Lindeberg. Scale-space for discrete signals. IEEE PAMI, 12, March 1990.Google Scholar
  9. 9.
    Tony Lindeberg. Scale-space behaviour of local extrema and blobs. Journal of Mathematical Imaging and Vision, 1:65–99, March 1992.Google Scholar
  10. 10.
    Tony Lindeberg. On scale selection for differential operators. The 8th Scandinavian Conf. on Image Analysis, pages 857–866, May 1993.Google Scholar
  11. 11.
    Farzin Mokhtarian and Alain K. Mackworth. Scale-based description and recognition of planar curves and two-dimensional shapes. IEEE PAMI, 8, Jan 1986.Google Scholar
  12. 12.
    Bart M. ter Haar Romeny, Luc M. J. Florack, Jan J. Koenderink, and Max A. Viergever. Scale space: Its natural operators and differential invariants. In LNCS, volume 511, pages 239–255. Springer-Verlag, July 1991.Google Scholar
  13. 13.
    Jean-Philippe Thirion and Alexis Gourdon. Computing the differential characteristics of isointensity surfaces. CVGIP, pages 190–202, March 1995. also a Tech. Report 1881.Google Scholar
  14. 14.
    Andrew P. Witkin. Scale space filtering. In Proc. Int. Conf. Artificial Intelligence, volume 511, 1983. Karlsruhe.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Márta Fidrich
    • 1
  • Jean -Philippe Thirion
    • 1
  1. 1.INRIASophia-Antipolis CedexFrance

Personalised recommendations