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Authors: Rose Jean-Loic 1 ; Revol-Muller Chantal 1 ; Odet Christophe 1 and Christian Reichert 2

Affiliations: 1 CREATIS-LRMN, France ; 2 Institut Camille Jordan UMR 5208, France

Keyword(s): Image segmentation, Region growing, Region-based criterion, Variational approach, Shape prior.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control

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 i llustrate the improvements of VRG compared to classical methods. (More)

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Paper citation in several formats:
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 (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 166-171. DOI: 10.5220/0001790001660171

@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 (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={166-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001790001660171},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - VARIATIONAL REGION GROWING
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Jean-Loic, R.
AU - Chantal, R.
AU - Christophe, O.
AU - Reichert, C.
PY - 2009
SP - 166
EP - 171
DO - 10.5220/0001790001660171
PB - SciTePress