TY  - CONF
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059768432&doi=10.1109%2fICIAS.2018.8540641&partnerID=40&md5=3b7ab8f39f59e159c173be8d97b1b369
N1  - cited By 1; Conference of 7th International Conference on Intelligent and Advanced System, ICIAS 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:143005
A1  - Kamble, R.M.
A1  - Aujih, B.
A1  - Kokare, M.
A1  - Meriaudeau, F.
ID  - scholars9648
N2  - Accurate detection of bright and dark lesions plays a very important role in diagnosis of various retinal related pathologies. This paper presents a method for detection of exudates and microaneurysms (MAs) from the retinal images by leveraging the property of high spatial frequencies of local pixel intensity. In contribution, we proposed a method that use delta local rank transform with positive and negative delta values to detect both exudates and MAs respectively. The exudate candidates are obtained after retinal anatomic structure removal by masking optic disc (OD) and blood vessels. Finally, selecting the bright and dark candidates by filtering out noise and postprocessing techniques. To demonstrate our proposed method, we carried out an experiments to detect lesion on two publicly available datasets namely, E-Ophtha and Diaretdbl. The result proves that the proposed method is comparable with the other state-of-the-art methods. © 2018 IEEE.
SN  - 9781538672693
Y1  - 2018///
KW  - Color image processing; Eye protection; Ophthalmology
KW  -  Blood vessel detection; Diabetic retinopathy; exudates; Microaneurysms; Rank transform
KW  -  Blood vessels
TI  - Detection of Bright and Dark Lesions from Color Fundus Images Using Delta-Rank Transform
PB  - Institute of Electrical and Electronics Engineers Inc.
AV  - none
ER  -