Exudates detection in fundus image using non-uniform illumination background subtraction

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Author listSae-Tang W., Chiracharit W., Kumwilaisak W.

PublisherHindawi

Publication year2010

Start page204

End page209

Number of pages6

ISBN9781424468904

ISSN0146-9428

eISSN1745-4557

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-79951642827&doi=10.1109%2fTENCON.2010.5685984&partnerID=40&md5=cca77c188a391e736c2794891df0d3d3

LanguagesEnglish-Great Britain (EN-GB)


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Abstract

Exudates detection in fundus image using non-uniform illumination background subtraction is proposed in this paper. Non-uniform illumination background that is the major problem of fundus imagge processing is need to be eliminated. Weighted surface fitting is used in fundus image background estimation after image compensation is performed. The unwanted data for fundus image background estimation Le. optic disk, fovea, blood vessels, and lesions are detected without traditional image segmentation. The estimated background is subtracted from the image and then exudates are detected from the foreground of image using level-set evolution without re-initialization. The experimental results show that the proposed method is robust to non-uniform illumination environment. Averaging sensitivity and positive predictive value are 91.84 % and 92.81 % respectively. ฉ2010 IEEE.


Keywords

Exudates detectionNon-uniform illumination


Last updated on 2023-26-09 at 07:35