Skip to main content
Log in

Computational morphology of curves

  • Published:
The Visual Computer Aims and scope Submit manuscript

Abstract

We prove that euclidean minimal spanning trees correctly reconstruct differentiable arcs from sufficiently dense samples. The proof is based on a combinatorial characterization of minimal spanning paths and on a description of the local geometry of ares inside tubular neighborhoods. We also present simple heuristics for reconstruting more general curves.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Arnon DS (1983) Topologically reliable display of algebraic curves. Comput Graph 17:219–227

    Google Scholar 

  2. Boissonnat J-D (1984) Geometric structures for three-dimensional shape representation. ACM Trans Graph 3:266–286

    Google Scholar 

  3. Duda RO, Hart PE (1973) Pattern Classification and Scene Analysis. Wiley

  4. Figueiredo LH (1992) Computational Morphology of Implicit Curves. Doctoral thesis, IMPA, Rio de Janeiro

    Google Scholar 

  5. Hoppe H, DeRose T, Duchamp T, McDonald J, Stuetzle W (1992) Surface reconstruction from unorganized points. Comput Graph 26:71–78

    Google Scholar 

  6. Hirsh MW (1976) Differential Topology, Graduate Texts in Mathematics 33, Springer, Berlin, Heidelberg, New York

    Google Scholar 

  7. Kirkpatrick DG, Radke JD (1985) A framework for computational morphology. In: Toussaint G (ed) Computational Geometry. North-Holland, pp 217–248

  8. Prim RC (1957) Shortest connection matrix network and some generalizations. Bell Syst Tech J 36:1389–1401

    Google Scholar 

  9. Toussaint G (1980) Pattern recognition and computational complexity. Proceedings of the Fifth International Conference on Pattern Recognition, pp 1324–1347

  10. Veltkamp RC (1992) The ψ-neighborhood graph. Comput Geom Theory Appl 1:227–246

    Google Scholar 

  11. Zahn CT (1971) Graph-theoretical methods for detecting and describing gestalt clusters. IEEE Trans Comput C 20:68–86

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

de Figueiredo, L.H., de Miranda Gomes, J. Computational morphology of curves. The Visual Computer 11, 105–112 (1994). https://doi.org/10.1007/BF01889981

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01889981

Key words

Navigation