AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING

Bálint Antal, István Lázár, András Hajdu

Abstract

In this paper, we present a novel approach to improve microaneurysm candidate extraction in color fundus images. The individual algorithms published so far can be hardly considered in an automatic screening system. To improve further the sensitivity, specificity and image classification rate of microaneurysm detection, we propose an appropriate combination of individual algorithms. Thus, we investigate the detection of microaneurysms through the following phases: first, we use different approaches to extract microaneurysm candidates. Then, we select candidates voted by a sufficient number of the candidate extractor algorithms. The optimal number of votes and participating algorithms are determined by a simulated annealing algorithm. Finally, we classify the candidates with a machine-learning based approach by following the current literature recommendations. Our framework improves the positive likelihood ratio for the microaneurysms and outperforms both the state-of-the-art individual candidate extractors and microaneurysm detectors in these terms.

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Paper Citation


in Harvard Style

Antal B., Lázár I. and Hajdu A. (2010). AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010) ISBN 978-989-8425-19-5, pages 80-87. DOI: 10.5220/0002988000800087


in Bibtex Style

@conference{sigmap10,
author={Bálint Antal and István Lázár and András Hajdu},
title={AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)},
year={2010},
pages={80-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002988000800087},
isbn={978-989-8425-19-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)
TI - AN OPTIMAL VOTING SCHEME FOR MICROANEURYSM CANDIDATE EXTRACTORS USING SIMULATED ANNEALING
SN - 978-989-8425-19-5
AU - Antal B.
AU - Lázár I.
AU - Hajdu A.
PY - 2010
SP - 80
EP - 87
DO - 10.5220/0002988000800087