@InProceedings{CouprieSaudBert:2006:EuHoSk,
author = "Couprie, Michel and Saude, Andr{\'e} Vital and Bertrand, Gilles",
affiliation = "Institut Gaspard-Monge, Laboratoire A2SI, Groupe ESIEE and State
University of Campinas, DCA-FEEC-UNICAMP and Institut
Gaspard-Monge, Laboratoire A2SI, Groupe ESIEE",
title = "Euclidean homotopic skeleton based on critical kernels",
booktitle = "Proceedings...",
year = "2006",
editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "parallel thinning, Euclidean distance, medial axis, homotopy,
critical kernels.",
abstract = "Critical kernels constitute a general framework settled in the
category of abstract complexes for the study of parallel thinning
in any dimension. It allows to easily design parallel thinning
algorithms which produce new types of skeletons, with specific
geometrical properties, while guaranteeing their topological
soundness. In this paper, we demonstrate that it is possible to
define a skeleton based on the Euclidean distance, rather than on
the common discrete distances, in the context of critical kernels.
We provide the necessary definitions as well as an efficient
algorithm to compute this skeleton.",
conference-location = "Manaus, AM, Brazil",
conference-year = "8-11 Oct. 2006",
doi = "10.1109/SIBGRAPI.2006.16",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2006.16",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/MhDuP",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/MhDuP",
targetfile = "euclideankernels_versionfinale.pdf",
urlaccessdate = "2025, Feb. 10"
}