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Authors: Alauddin Bhuiyan 1 ; Ryo Kawasaki 1 ; Ecosse Lamoureux 2 ; Kotagiri Ramamohanarao 1 and Tien Y. Wong 2

Affiliations: 1 The University of Melbourne, Australia ; 2 The University of Melbourne and National University of Singapore, Australia

ISBN: 978-989-8425-35-5

Keyword(s): Retinal image, Vessel segmentation, Canny edge detection, Gaussian smoothing, Region growing technique, Edge profiling.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Detection and Identification ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: Retinal blood vessel changes (e.g., vessel caliber) are important indicators for earlier diagnosis of cardiovascular diseases. To quantify the changes automatically, a reliable vessel detection is essential. However, blood vessel detection in retinal image is complicated by a huge variation in a number of factors such as local contrast, vessel width and vessel central reflex. In this paper, we propose a new technique to detect retinal blood vessels which is able to address these issues. The core of the technique is a new vessel edge selection method which combines the method of finding edge pattern and edge profiling techniques. Experimental results show that 92.40% success rate in the identification of vessel start-points and 88.73% success rate in tracking the major vessels.

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Paper citation in several formats:
Bhuiyan, A.; Kawasaki, R.; Lamoureux, E.; Ramamohanarao, K. and Y. Wong, T. (2011). A NEW AND EFFICIENT VESSEL SEGMENTATION METHOD FROM COLOR RETINAL IMAGES.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 467-471. DOI: 10.5220/0003161404670471

@conference{biosignals11,
author={Alauddin Bhuiyan. and Ryo Kawasaki. and Ecosse Lamoureux. and Kotagiri Ramamohanarao. and Tien Y. Wong.},
title={A NEW AND EFFICIENT VESSEL SEGMENTATION METHOD FROM COLOR RETINAL IMAGES},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={467-471},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003161404670471},
isbn={978-989-8425-35-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - A NEW AND EFFICIENT VESSEL SEGMENTATION METHOD FROM COLOR RETINAL IMAGES
SN - 978-989-8425-35-5
AU - Bhuiyan, A.
AU - Kawasaki, R.
AU - Lamoureux, E.
AU - Ramamohanarao, K.
AU - Y. Wong, T.
PY - 2011
SP - 467
EP - 471
DO - 10.5220/0003161404670471

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