detecting optic disc on asians by multiscale gaussian filtering

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ID: 174471
2012
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Ranked #22 of 76 articles by views in Chemistry, an Asian journal

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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).
Reference Key
zhang2012internationaldetecting Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Bob Zhang;Jane You;Fakhri Karray
Journal Chemistry, an Asian journal
Year 2012
DOI
10.1155/2012/727154
URL
http://dx.doi.org/10.1155/2012/727154
Keywords
medical physics nuclear medicinemedical technology medical radiology

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