A Tool for Brain Magnetic Resonance Image Segmentation

Baptiste Magnier, Philippe Montesinos, Daniel Diep

Abstract

This paper is dedicated to a brain magnetic resonance images regularization method, preserving grey/white matter edges using rotating smoothing filters. After a preprocessing, the originality of this approach resides in the mixing of ideas coming both from pixel classification which determines roughly if a pixel belongs to a homogenous region or an edge and an anisotropic edge detector which computes two precise diffusion directions. These directions are used by an anisotropic diffusion scheme which is accurately controlled near edges and corners. Comparing our results with existing algorithms allows us to validate the robustness of our method.

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Paper Citation


in Harvard Style

Magnier B., Montesinos P. and Diep D. (2013). A Tool for Brain Magnetic Resonance Image Segmentation . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-48-8, pages 75-79. DOI: 10.5220/0004224600750079


in Bibtex Style

@conference{visapp13,
author={Baptiste Magnier and Philippe Montesinos and Daniel Diep},
title={A Tool for Brain Magnetic Resonance Image Segmentation},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={75-79},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004224600750079},
isbn={978-989-8565-48-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2013)
TI - A Tool for Brain Magnetic Resonance Image Segmentation
SN - 978-989-8565-48-8
AU - Magnier B.
AU - Montesinos P.
AU - Diep D.
PY - 2013
SP - 75
EP - 79
DO - 10.5220/0004224600750079