Authors:
Zhitao Xiao
1
;
Fang Zhang
1
;
Lei Geng
1
;
Jun Wu
1
;
Xinpeng Zhang
1
;
Long Su
2
and
Chunyan Shan
3
Affiliations:
1
Tianjin Polytechnic University, China
;
2
Tianjin Medical University Eye Hospital, China
;
3
Tianjin Medical University Metabolic Disease Hospital, China
Keyword(s):
Microaneurysms, Phase Congruency, Directional Cross-Section Profiles, Diabetic Retinopathy.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Medical Imaging
;
Object Recognition
;
Pattern Recognition
;
Software Engineering
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.