Euclidean skeletons : methods for robust Euclidean skeletonization in 2D and 3D

This software was developed (or is under development) within the higher education and research community. Its stability can vary (see fields below) and its working state is not guaranteed.
Higher Edu - Research dev card
  • Creation or important update: 18/04/13
  • Minor correction: 12/09/13
  • Index card author: Michel Couprie (LIGM)
  • Theme leader: Teresa Gomez-Diaz (LIGM)
Keywords
General software features

Skeletons suffer from the lack of stability with respect to noise. This is why, in real applications, skeleton filtering is a
crucial issue. This software implements recently introduced methods for obtaining robust, filtered Euclidean skeletons in 2D and 3D discrete spaces.

Context in which the software is used

This software has been built for finding and validating the results of the related publications.

Publications related to software

[CCT10] J. Chaussard, M. Couprie and H. Talbot: "Robust skeletonization using the discrete lambda-medial axis", Pattern Recognition Letters, Volume 32, Issue 9, 1 July 2011, Pages 1384–1394.

[SCL09] A. Vital Saúde, M. Couprie and R. Lotufo: "Discrete 2D and 3D Euclidean medial axis in higher resolution", Image and Vision Computing, Vol. 27, pp. 354--363, 2009.

[CCZ07] M. Couprie, D. Coeurjolly and R. Zrour: "Discrete bisector function and Euclidean skeleton in 2D and 3D", Image and Vision Computing, Vol. 25, pp. 1543-1556, 2007.

Other publications: http://www.esiee.fr/~coupriem/es/ES_biblio.html