Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/6265
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Title: Detecting optic disc on Asians by multiscale Gaussian filtering
Authors: Zhang, B
You, J 
Karray, F
Issue Date: 2012
Source: International journal of biomedical imaging, 2012, v. 2012, 727154, p. 1-10
Abstract: The optic disc (OD) is an important anatomical feature in retinal images, and its detection is vital for developing automated screening programs. Currently, there is no algorithm designed to automatically detect the OD in fundus images captured from Asians which are larger and have thicker vessels compared to Caucasians. In this paper, we propose such a method to complement current algorithms using two steps: OD vessel candidate detection and OD vessel candidate matching. The first step is achieved with multiscale Gaussian filtering, scale production, and double thresholding to initially extract the vessels' directional map of various thicknesses. 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 new database consisting of 402 images from a diabetic retinopathy (DR) screening programme consisting of Asians. The OD center was successfully detected with an accuracy of 99.25% (399/402).
Keywords: Algorithms
Automation
Eye protection
Pixels
Publisher: Hindawi Publishing Corporation
Journal: International journal of biomedical imaging 
ISSN: 1687-4188 (print)
1687-4196 (online)
DOI: 10.1155/2012/727154
Rights: Copyright © 2012 Bob Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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