Using Phase Congruency Model for Microaneurysms Detection in Fundus Image

Zhitao Xiao, Fang Zhang, Lei Geng, Jun Wu, Xinpeng Zhang, Long Su, Chunyan Shan

2015

Abstract

This paper addresses an automatic detection method of microaneurysms in color fundus images, which plays a key role in computer assisted diagnosis of diabetic retinopathy, a serious and frequent eye disease. The main concentration of this paper is to detect microaneurysms with phase congruency. The first step consists in image normalization and green channel extraction. The second step aims at obtaining microaneurysms candidate regions, which is achieved using phase congruency. Then the irrelevant information, such as the vessel fragments, is removed by constructing directional cross-section profiles. Through testing on 50 fundus images provided by ROC website, the experimental results show that this method can accurately get microaneurysms in color fundus images.

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Paper Citation


in Harvard Style

Xiao Z., Zhang F., Geng L., Wu J., Zhang X., Su L. and Shan C. (2015). Using Phase Congruency Model for Microaneurysms Detection in Fundus Image . In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 158-163. DOI: 10.5220/0005186801580163

in Bibtex Style

@conference{icpram15,
author={Zhitao Xiao and Fang Zhang and Lei Geng and Jun Wu and Xinpeng Zhang and Long Su and Chunyan Shan},
title={Using Phase Congruency Model for Microaneurysms Detection in Fundus Image},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={158-163},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005186801580163},
isbn={978-989-758-077-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Using Phase Congruency Model for Microaneurysms Detection in Fundus Image
SN - 978-989-758-077-2
AU - Xiao Z.
AU - Zhang F.
AU - Geng L.
AU - Wu J.
AU - Zhang X.
AU - Su L.
AU - Shan C.
PY - 2015
SP - 158
EP - 163
DO - 10.5220/0005186801580163