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Authors: Elizabeth M. Massey 1 ; James A. Lowell 1 ; Andrew Hunter 2 and David Steel 2

Affiliations: 1 University of Lincoln; Foster Findlay Associates Limited, United Kingdom ; 2 University of Lincoln; Sunderland Eye Infirmary, United Kingdom

ISBN: 978-989-8111-69-2

Keyword(s): Computer vision, Retinal lesion segmentation, Segmentation, Level set methods.

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: 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 several formats:
M. Massey E.; A. Lowell J.; Hunter A.; Steel D. and (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

@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},
}

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

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