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Tree Edit Distances from Singularity Theory

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3459))

Abstract

An representation based on the singularity structure of the gradient magnitude over scale is used as the atoms in a space of images. This representation is summarized as a rooted tree. The generic transitions of the functional of the scale space images are analysed and listed for the scale parameter and one free parameter. A distance measure between images is deduced soly from these generic transistions. The singular transitions are translated into the language of the tree transitions such that one generic transition corresponds to one unit edit operation of the tree structure. The distance between two images is the size of the smallest set of edit operations necessary to transform the corresponding tree representations into each other.

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References

  1. Dam, E., Johansen, P., Olsen, O.F., Thomsen, A., Darvann, T., Dobrzeniecki, A.B., Hermann, N.V., Kitai, N., Kreiborg, S., Larsen, P., Lillholm, M., Nielsen, M.: Interactive multi-scale segmentation in clinical use. In: European Congress of Radiology 2000 (March 2000); Abstract and video accepted for CompuRAD

    Google Scholar 

  2. Damon, J.: Local morse theory for solutions to the heat equation and gaussian blurring. Journal of Differential Equations 115(2) (January 1995)

    Google Scholar 

  3. Damon, J.: Properties of ridges and cores for two-dimensional images. Journal of Mathematical Imaging and Vision 10, 163–174 (1999)

    Article  MATH  MathSciNet  Google Scholar 

  4. Florack, L.M.J., ter Haar Romeny, B.M., Koenderink, J.J., Viergever, M.A.: Cartesian differential invariants in scale-space. JMIV 3(4), 327–348 (1993)

    Article  Google Scholar 

  5. Florack, L., ter Haar Romeny, B., Koenderink, J., Viergever, M.: General intensity transformations and differential invariants. Journal of Mathematical Imaging and Vision 4(2), 171–187 (1994)

    Article  MathSciNet  Google Scholar 

  6. Florack, L.M.J., Kuijper, A.: The topological structure of scale-space images. Journal of Mathematical Imaging and Vision 12, 65–79 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  7. Giblin, P.J., Kimia, B.B.: On the local form and transitions of symmetry sets, and medial axes, and shocks in 2D. In: Proc. of ICCV, Greece, September 1999, pp. 385–391. IEEE Computer Society, Los Alamitos (1999)

    Google Scholar 

  8. Giblin, P.J., Kimia, B.B.: On the local form of symmetry sets, and medial axes, and shocks in 3D. In: Proc. of CVPR, pp. 566–573. IEEE Computer Society, Los Alamitos (2000)

    Google Scholar 

  9. Giblin, P.J., Kimia, B.B.: Transitions of the 3D medial axis under a one-parameter family of deformations. In: ECCV, pp. 718–724 (2002)

    Google Scholar 

  10. Griffin, L.D.: Descriptions of Image Structure. PhD thesis, Uni. of London (1995)

    Google Scholar 

  11. Iijima, T.: Basic theory on normalization of a pattern (in case of typical one-dimensional pattern). Bulletin of Electrotechnical Laboratory 26, 368–388 (1962) (in Japanese)

    Google Scholar 

  12. Johansen, P., Nielsen, M., Olsen, O.F.: Singular points in one-dimensional gaussian scale space. Journal of Mathematical Imaging and Vision (2000)

    Google Scholar 

  13. Koenderink, J.J.: The structure of images. Biological Cybernetics 50, 363–370 (1984)

    Article  MATH  MathSciNet  Google Scholar 

  14. Kuijper, A., Florack, L.M.J.: Using catastrophe theory to derive trees from images. Journal of Mathematical Imaging and Vision (2004)

    Google Scholar 

  15. Kuijper, A., Florack, L.: The relevance of non-generic events in scale space models. International Journal of Computer Vision (2004)

    Google Scholar 

  16. Kuijper, A., Olsen, O.F., Giblin, P.: Data structures from shapes using the symmetry set. In: SIAM conference on Imaging Science (2004)

    Google Scholar 

  17. Letteboer, M., Olsen, O.F., Dam, E., Willems, P., Viergever, M., Niessen, W.J.: Segmentation of tumors in mr brain images using an interactive multi-scale watershed algorithm. Academic Radiology (2004)

    Google Scholar 

  18. Lindeberg, T.: Scale–Space Theory in Computer Vision. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Boston (1994)

    Google Scholar 

  19. Olsen, O.F.: Generic Image Structure. PhD thesis, Department of Computer Science, University of Copenhagen, Universitetsparken 1, DK-2200 Copenhagen East, Denmark, Technical Report DIKU-2000/04 (March 2000)

    Google Scholar 

  20. Olsen, O.F.: The scale structure of the gradient magnitude. Technical report, IT University of Copenhagen, Rued langgaards Vej 7, DK-2300 Copenhagen, Denmark, ITU Technical report: TR-2003-29 (2003)

    Google Scholar 

  21. Olsen, O.F.: Inducing edit distance from generic transitions. In: SIAM conference on imaging science (2004)

    Google Scholar 

  22. Olsen, O.F., Nielsen, M.: Generic events for the gradient squared with application to multi-scale segmentation. In: ter Haar Romeny, B.M., Florack, L.M.J., Viergever, M.A. (eds.) Scale-Space 1997. LNCS, vol. 1252, pp. 101–112. Springer, Heidelberg (1997)

    Google Scholar 

  23. Olsen, O.F., Nielsen, M.: Multi-scale gradient magnitude watershed segmentation. In: Del Bimbo, A. (ed.) ICIAP 1997. LNCS, vol. 1310, pp. 6–13. Springer, Heidelberg (1997)

    Chapter  Google Scholar 

  24. Olver, P., Sapiro, G., Tannenbaum, A.: Differential invariance signatures and flows in computer vision: a symmetry group approach. In: ter Haar Romeny, B. (ed.) Geometry-Driven Diffusion in Computer Vision, ch. 11. Kluwer Academic Publishers, Dordrecht (1994)

    Google Scholar 

  25. Rieger, J.H.: Generic evolutions of edges on families of diffused greyvalue surfaces. Journal of Mathematical Imaging and Vision 5(3), 207–217 (1995)

    Article  MATH  Google Scholar 

  26. Somchaipeng, K., Sporring, J., Kreiborg, S., Johansen, P.: Software for extracting 3d mssts. Technical report, EU project IST-2001-35443, Deliverable No. 8, http://www.itu.dk/Internet/sw1953.asp

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© 2005 Springer-Verlag Berlin Heidelberg

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Olsen, O.F. (2005). Tree Edit Distances from Singularity Theory. In: Kimmel, R., Sochen, N.A., Weickert, J. (eds) Scale Space and PDE Methods in Computer Vision. Scale-Space 2005. Lecture Notes in Computer Science, vol 3459. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408031_27

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  • DOI: https://doi.org/10.1007/11408031_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25547-5

  • Online ISBN: 978-3-540-32012-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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