Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22362
Title: Detection of microaneurysms using multi-scale correlation coefficients
Authors: Zhang, B
Wu, X
You, J 
Li, Q
Karray, F
Keywords: Computer-aided diagnosis (CAD)
Diabetic retinopathy (DR)
Microaneurysm (red lesion) detection
Multi-scale correlation filtering
Issue Date: 2010
Publisher: Elsevier
Source: Pattern recognition, 2010, v. 43, no. 6, p. 2237-2248 How to cite?
Journal: Pattern recognition 
Abstract: This paper presents a new approach to the computer aided diagnosis (CAD) of diabetic retinopathy (DR)-a common and severe complication of long-term diabetes which damages the retina and cause blindness. Since microaneurysms are regarded as the first signs of DR, there has been extensive research on effective detection and localization of these abnormalities in retinal images. In contrast to existing algorithms, a new approach based on multi-scale correlation filtering (MSCF) and dynamic thresholding is developed. This consists of two levels, microaneurysm candidate detection (coarse level) and true microaneurysm classification (fine level). The approach was evaluated based on two public datasets-ROC (retinopathy on-line challenge, http://roc.healthcare.uiowa.edu) and DIARETDB1 (standard diabetic retinopathy database, http://www.it.lut.fi/project/imageret/diaretdb1). We conclude our method to be effective and efficient.
URI: http://hdl.handle.net/10397/22362
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/j.patcog.2009.12.017
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