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Author: Liudmila Domakhina

Affiliation: Moscow State University, Russian Federation

ISBN: 978-989-8111-80-7

Abstract: Shape decomposition into meaningful parts (segmentation) problem is considered in this paper. The shape is given either as a raster object on a homogeneous background or as a polygonal figure. A new shape decomposition approach is called skeleton-based segmentation. The approach is based on continuous skeletons that provides an opportunity to construct visually proper segmentations reflecting the shape structure. The proposed skeleton-based segmentation method stands out against known methods because it is suitable to work correctly with pairs of shapes. For a pair of shapes it is proposed to construct isomorphic skeleton-based segmentations which can be used on shape comparison and morphing applications.

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Paper citation in several formats:
Domakhina L. and (2009). Skeleton-Based Shape Segmentation.In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009) ISBN 978-989-8111-80-7, pages 84-92. DOI: 10.5220/0001963500840092

@conference{workshop imta09,
author={Liudmila Domakhina},
title={Skeleton-Based Shape Segmentation},
booktitle={Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)},
year={2009},
pages={84-92},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001963500840092},
isbn={978-989-8111-80-7},
}

TY - CONF

JO - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)
TI - Skeleton-Based Shape Segmentation
SN - 978-989-8111-80-7
AU - Domakhina, L.
PY - 2009
SP - 84
EP - 92
DO - 10.5220/0001963500840092

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