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A new approach to image segmentation

  • Antonio Succi
  • Vincent Torre
Textures
Part of the Lecture Notes in Computer Science book series (LNCS, volume 974)

Keywords

Active Contour Model Final Segmentation Bubble Boundary Iterate Conditional Mode Intensity Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    R. M. Haralick and L. G. Shapiro, “Image segmentation techniques”, Comput. Vis. Graph. Image Process., vol. 29, 1985Google Scholar
  2. 2.
    E. Riseman and M. Arbib, “Segmentation of static scenes”, Comput. Graphics Image Process., vol. 6, 1977Google Scholar
  3. 3.
    S. Zucker, “Region growing: Childhood and adolescence”, Comput. Graphics Image Process., vol. 5, 1976Google Scholar
  4. 4.
    D. Munford and J. Shah, “Optimal approximation by piecewise smooth functions and variational problems”, Communication on Pure and Applied Mathemathics, vol. 42, No 5, 1988Google Scholar
  5. 5.
    A. Ackah-Miezan and A. Gagalowicz, “Discrete models for energy-minimizing segmentation”, Proceedings of the 4th International Conference on Computer Vision, 1993Google Scholar
  6. 6.
    L. D. Cohen and I. Cohen, “A finite element method applied to new active contour models and 3D reconstruction from cross sections”, Technical report 1245, INRIA, June 1990Google Scholar
  7. 7.
    A. Kass, A. Witkin and D. Terzopoulos, “Snakes: active contour models”, Int. J. Computer Vision, vol. 1, No. 3, 1988Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Antonio Succi
    • 1
  • Vincent Torre
    • 1
  1. 1.Dipartimento di Fisica dell'Università di GenovaGenovaItaly

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