J Med Syst - Diagnosis of diabetic retinopathy: automatic extraction of optic disc and exudates from retinal images using marker-controlled watershed transformation.

Tópicos

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{ activ(1452) weight(1219) physic(1104) }
{ method(2212) result(1239) propos(1039) }

Resumo

Due to increasing number of diabetic retinopathy cases, ophthalmologists are experiencing serious problem to automatically extract the features from the retinal images. Optic disc (OD), exudates, and cotton wool spots are the main features of fundus images which are used for diagnosing eye diseases, such as diabetic retinopathy and glaucoma. In this paper, a new algorithm for the extraction of these bright objects from fundus images based on marker-controlled watershed segmentation is presented. The proposed algorithm makes use of average filtering and contrast adjustment as preprocessing steps. The concept of the markers is used to modify the gradient before the watershed transformation is applied. The performance of the proposed algorithm is evaluated using the test images of STARE and DRIVE databases. It is shown that the proposed method can yield an average sensitivity value of about 95%, which is comparable to those obtained by the known methods.

Resumo Limpo

due increas number diabet retinopathi case ophthalmologist experienc serious problem automat extract featur retin imag optic disc od exud cotton wool spot main featur fundus imag use diagnos eye diseas diabet retinopathi glaucoma paper new algorithm extract bright object fundus imag base markercontrol watersh segment present propos algorithm make use averag filter contrast adjust preprocess step concept marker use modifi gradient watersh transform appli perform propos algorithm evalu use test imag stare drive databas shown propos method can yield averag sensit valu compar obtain known method

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