VARIATIONAL REGION GROWING

Rose Jean-Loic, Revol-Muller Chantal, Odet Christophe, Christian Reichert

Abstract

Region growing is one of the most popular image segmentation methods. The concept of region growing is easily understandable but sometimes criticized for its lack of theorical background. In order to overcome this weakness, we propose to describe region growing in a new framework which is the variational approach. A variational approach is commonly used in image segmentation methods such as active contours or level sets, but is quite original in the context of region growing. We call this method Variational Region Growing. First, we define a region-based criterion. A discrete derivation is applied to this criterion in order to get an evolution rule for the evolving region. The aim of this equation is to guide the evolving region towards a minimum of the criterion. Then, we formalize the iterative process of region growing in the proposed framework. Furthermore, we highlight the relevance of VRG for integrating shape prior. We apply VRG to synthetic and 3D-biomedical images. Results illustrate the improvements of VRG compared to classical methods.

References

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  3. Rose, J.-L., Revol-Muller, C., Almajdub, M., Chereul, E., and Odet, C. (2007). Shape prior integrated in an automated 3d region growing method. In IEEE ICIP, volume 1, pages I - 53-I - 56.
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Paper Citation


in Harvard Style

Jean-Loic R., Chantal R., Christophe O. and Reichert C. (2009). VARIATIONAL REGION GROWING . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 166-171. DOI: 10.5220/0001790001660171


in Bibtex Style

@conference{visapp09,
author={Rose Jean-Loic and Revol-Muller Chantal and Odet Christophe and Christian Reichert},
title={VARIATIONAL REGION GROWING},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={166-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001790001660171},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2009)
TI - VARIATIONAL REGION GROWING
SN - 978-989-8111-69-2
AU - Jean-Loic R.
AU - Chantal R.
AU - Christophe O.
AU - Reichert C.
PY - 2009
SP - 166
EP - 171
DO - 10.5220/0001790001660171