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Authors: Gábor Karai ; Péter Kardos and Kálmán Palágyi

Affiliation: Department of Image Processing and Computer Graphics, University of Szeged, Szeged, Hungary

Keyword(s): Shape Representation, Kernel-thinning, BCC Grid, Topology-preservation.

Abstract: Kernel-thinning is a widely used technique for extracting the topological kernel from a digital object (i.e., producing a minimal structure that is topologically equivalent to the original elongated object). In this paper, two subfield-based parallel kernel-thinning algorithms acting on the non-standard body centered cubic (BCC) grid are presented. Our algorithms combine a sufficient condition for topology preservation with two types of partitionings of the BCC grid, thus both algorithms are topology-preserving. According to our best knowledge, the reported algorithms are the very first parallel thinning algorithms on the BCC grid.

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Paper citation in several formats:
Karai, G.; Kardos, P. and Palágyi, K. (2022). Subfield-based Parallel Kernel-thinning Algorithms on the BCC Grid. In Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-549-4; ISSN 2184-4313, SciTePress, pages 288-295. DOI: 10.5220/0010831000003122

@conference{icpram22,
author={Gábor Karai. and Péter Kardos. and Kálmán Palágyi.},
title={Subfield-based Parallel Kernel-thinning Algorithms on the BCC Grid},
booktitle={Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2022},
pages={288-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010831000003122},
isbn={978-989-758-549-4},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Subfield-based Parallel Kernel-thinning Algorithms on the BCC Grid
SN - 978-989-758-549-4
IS - 2184-4313
AU - Karai, G.
AU - Kardos, P.
AU - Palágyi, K.
PY - 2022
SP - 288
EP - 295
DO - 10.5220/0010831000003122
PB - SciTePress