Feature extraction from retinal fundus image for early detection of diabetic retinopathy

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dc.contributor.authorSreng, Syna
dc.contributor.authorTakada, Jun Ichi
dc.contributor.authorManeerat, Noppadol
dc.contributor.authorIsarakorn, Don
dc.contributor.authorVarakulsiripunth, Ruttikorn
dc.contributor.authorPasaya, Bundit
dc.contributor.authorPanjaphongse, Ronakorn
dc.date.accessioned2026-08-06T10:07:47Z
dc.date.available2026-08-06T10:07:47Z
dc.date.issued2013-12-01
dc.description.abstractAutomated detection of lesions in retinal fundus image can be aid in the detection of diabetic retinopathy. Exudates are the early sign of diabetic retinopathy so the proper detection of these lesions is an essential task in an automatic retinal screening. On the research work leading to automatic analysis of exudate detection, the knowledge of Optic Disk (OD) location is very useful. An efficient algorithm is presented to detect the OD and exudate which are the most important features for early detection of diabetic retinopathy. From a retinal fundus image, the proposed method first preprocesses and estimates the histogram of retinal background, then filters out the bright pixels in intensity image. They include OD, and non-OD (exudates and noise). Next, an OD boundary is determined and eliminated after applying blob boundary measurement and morphological reconstruction. Finally, exudates are extracted by applying the maximum entropy thresholding to filter out the bright pixels from the green component of retinal image which OD region inside is eliminated. The proposed technique has been tested first on 100 images from hospital. Experimental results show that 93% and 89% of OD and exudate were detected correctly, respectively. © 2013 IEEE.
dc.identifier.citation2013 IEEE Region 10 Humanitarian Technology Conference R10 Htc 2013, 63-66, 2013
dc.identifier.doi10.1109/R10-HTC.2013.6669015
dc.identifier.other2-s2.0-84893409372
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/5192
dc.source2013 IEEE Region 10 Humanitarian Technology Conference R10 Htc 2013
dc.subjectblob boundary measurement
dc.subjectdiabetic retinopathy
dc.subjectexudate
dc.subjectmaximum entropy thresholding
dc.subjectoptic disc
dc.titleFeature extraction from retinal fundus image for early detection of diabetic retinopathy
dc.typeConference Paper

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