Communications in Science and Technology
Vol 4 No 1 (2019)

Dark lesion elimination based on area, eccentricity and extent features for supporting haemorrhages detection

Vesi Yulyanti (Universitas Gadjah Mada)
Hanung Adi Nugroho (Universitas Gadjah Mada)
Igi Ardiyanto (Universitas Gadjah Mada)
Widhia KZ Oktoeberza (Universitas Bengkulu)

Article Info

Publish Date
14 Jul 2019


One of the complications due to the long-term of diabetes is retinal vessels damaging called diabetic retinopathy. It is characterised by appearing the bleeding spots in the large size (haemorrhages) on the surface of retina. Early detection of haemorrhages is needed for preventing the worst effect which leads to vision loss. This study aims to detect haemorrhages by eliminating other dark lesion objects that have similar characteristics with haemorrhages based on three features, i.e. area, eccentricity and extent features. This study uses 43 retinal fundus images taken from DIARETDB1 database. Based on the validation process, the average level of sensitivity gained is 80.5%. These results indicate that the proposed method is quite capable of detecting haemorrhages which appear in the retinal surface.

Copyrights © 2019

Journal Info







Communication in Science and Technology [p-ISSN 2502-9258 | e-ISSN 2502-9266] is an international open access journal devoted to various disciplines including social science, natural science, medicine, technology and engineering. CST publishes research articles, reviews and letters in all areas of ...