Journal of Mathematical Imaging and Vision, volume 48, issue 1, pages 134-148
Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels
1
Laboratoire d’Informatique Gaspard-Monge, ESIEE Paris, Université Paris-Est, Noisy-le-Grand Cedex, France
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Publication type: Journal Article
Publication date: 2012-11-18
Q2
Q2
SJR: 0.684
CiteScore: 4.3
Impact factor: 1.3
ISSN: 09249907, 15737683
Condensed Matter Physics
Statistics and Probability
Applied Mathematics
Computer Vision and Pattern Recognition
Modeling and Simulation
Geometry and Topology
Abstract
The main contribution of the present article consists of new 3D parallel and symmetric thinning schemes which have the following qualities:
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Bertrand G., Couprie M. Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels // Journal of Mathematical Imaging and Vision. 2012. Vol. 48. No. 1. pp. 134-148.
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Bertrand G., Couprie M. Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels // Journal of Mathematical Imaging and Vision. 2012. Vol. 48. No. 1. pp. 134-148.
Cite this
RIS
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TY - JOUR
DO - 10.1007/s10851-012-0402-7
UR - https://doi.org/10.1007/s10851-012-0402-7
TI - Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels
T2 - Journal of Mathematical Imaging and Vision
AU - Bertrand, Gilles
AU - Couprie, Michel
PY - 2012
DA - 2012/11/18
PB - Springer Nature
SP - 134-148
IS - 1
VL - 48
SN - 0924-9907
SN - 1573-7683
ER -
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BibTex (up to 50 authors)
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@article{2012_Bertrand,
author = {Gilles Bertrand and Michel Couprie},
title = {Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels},
journal = {Journal of Mathematical Imaging and Vision},
year = {2012},
volume = {48},
publisher = {Springer Nature},
month = {nov},
url = {https://doi.org/10.1007/s10851-012-0402-7},
number = {1},
pages = {134--148},
doi = {10.1007/s10851-012-0402-7}
}
Cite this
MLA
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Bertrand, Gilles, and Michel Couprie. “Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels.” Journal of Mathematical Imaging and Vision, vol. 48, no. 1, Nov. 2012, pp. 134-148. https://doi.org/10.1007/s10851-012-0402-7.