REGION GROWING: ADOLESCENCE AND ADULTHOOD - Two Visions of Region Growing: in Feature Space and Variational Framework

C. Revol-Muller, T. Grenier, J. L. Rose, A. Pacureanu, F. Peyrin, C. Odet

2012

Abstract

Region growing is one of the most intuitive techniques for image segmentation. Starting from one or more seeds, it seeks to extract a meaningful object by iteratively aggregating surrounding pixels. Starting from this simple description, we propose to show how region growing technique can be elevated to the same rank as more recent and sophisticated methods. Two formalisms are presented to describe the process. The first one derived from non-parametric estimation relies upon feature space and kernel functions. The second one is issued from variational framework. Describing the region evolution as a process, which minimizes an energy functional, it thus proves the convergence of the process and takes advantage of the huge amount of work already done on energy functional. In the last part, we illustrate the interest of both formalisms in the context of life imaging. Three segmentation applications are considered using various modalities such as whole body PET imaging, small animal µCT imaging and experimental Synchrotron Radiation µCT imaging. We will thus demonstrate that region growing has reached this last decade a maturation that offers many perspectives of applications to the method.

Paper Citation

in Harvard Style

Revol-Muller C., Grenier T., Rose J., Pacureanu A., Peyrin F. and Odet C. (2012). REGION GROWING: ADOLESCENCE AND ADULTHOOD - Two Visions of Region Growing: in Feature Space and Variational Framework . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 286-297. DOI: 10.5220/0003942002860297

in Bibtex Style

@conference{visapp12,
author={C. Revol-Muller and T. Grenier and J. L. Rose and A. Pacureanu and F. Peyrin and C. Odet},
title={REGION GROWING: ADOLESCENCE AND ADULTHOOD - Two Visions of Region Growing: in Feature Space and Variational Framework},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={286-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003942002860297},
isbn={978-989-8565-03-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - REGION GROWING: ADOLESCENCE AND ADULTHOOD - Two Visions of Region Growing: in Feature Space and Variational Framework
SN - 978-989-8565-03-7
AU - Revol-Muller C.
AU - Grenier T.
AU - Rose J.
AU - Pacureanu A.
AU - Peyrin F.
AU - Odet C.
PY - 2012
SP - 286
EP - 297
DO - 10.5220/0003942002860297