LESION BOUNDARY SEGMENTATION USING LEVEL SET METHODS

Elizabeth M. Massey, James A. Lowell, Andrew Hunter, David Steel

Abstract

This paper addresses the issue of accurate lesion segmentation in retinal imagery, using level set methods and a novel stopping mechanism - an elementary features scheme. Specifically, the curve propagation is guided by a gradient map built using a combination of histogram equalization and robust statistics. The stopping mechanism uses elementary features gathered as the curve deforms over time, and then using a lesionness measure, defined herein, ’looks back in time’ to find the point at which the curve best fits the real object. We implement the level set using a fast upwind scheme and compare the proposed method against five other segmentation algorithms performed on 50 randomly selected images of exudates with a database of clinician marked-up boundaries as ground truth.

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Paper Citation


in Harvard Style

M. Massey E., A. Lowell J., Hunter A. and Steel D. (2009). LESION BOUNDARY SEGMENTATION USING LEVEL SET METHODS . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 245-249. DOI: 10.5220/0001781402450249


in Bibtex Style

@conference{visapp09,
author={Elizabeth M. Massey and James A. Lowell and Andrew Hunter and David Steel},
title={LESION BOUNDARY SEGMENTATION USING LEVEL SET METHODS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={245-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001781402450249},
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 1: VISAPP, (VISIGRAPP 2009)
TI - LESION BOUNDARY SEGMENTATION USING LEVEL SET METHODS
SN - 978-989-8111-69-2
AU - M. Massey E.
AU - A. Lowell J.
AU - Hunter A.
AU - Steel D.
PY - 2009
SP - 245
EP - 249
DO - 10.5220/0001781402450249