Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/75272
Title: Optic disc detection by multi-scale Gaussian filtering with scale production and a vessels' directional matched filter
Authors: Zhang, B
Li, Q
Zhang, L 
You, J 
Karray, F
Keywords: Diabetic retinopathy
Matched Filter
Optic disc
Vessels' Directional Matched Filter
Issue Date: 2010
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2010, v. 6165 LNCS, p. 173-180 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: The optic disc (OD) is an important anatomical feature in retinal images, and its detection is vital for developing automated screening programs. In this paper we propose a method to automatically detect the OD in fundus images using two steps: OD vessel candidate detection and OD vessel candidate matching. The first step is achieved with multi-scale Gaussian filtering, scale production, and double thresholding to initially extract the vessels' directional map. The map is then thinned before another threshold is applied to remove pixels with low intensities. This result forms the OD vessel candidates. In the second step, a Vessels' Directional Matched Filter (VDMF) of various dimensions is applied to the candidates to be matched, and the pixel with the smallest difference designated the OD center. We tested the proposed method on a subset of a new database consisting of 139 images from a diabetic retinopathy (DR) screening programme. The OD center was successfully detected with an accuracy of 96.4% (134/139).
Description: 2nd International Conference on Medical Biometrics, ICMB 2010, Hong Kong, 28-30 June 2010
URI: http://hdl.handle.net/10397/75272
ISBN: 3642139221
9783642139222
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-642-13923-9_18
Appears in Collections:Conference Paper

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