Open AccessAn Automatic ROI of The Fundus Photography
Author(s) -
Jufriadif Na’am,
Johan Harlan,
I Dewa Gede Arief Bilanova Putra,
Romi Hardianto,
Mutiana Pratiwi
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i6.pp4545-4553
Subject(s) - fundus photography , computer science , fundus (uterus) , photography , artificial intelligence , region of interest , computer vision , image processing , segmentation , optometry , medicine , image (mathematics) , retinal , ophthalmology , fluorescein angiography , art , visual arts
The Region of interest (ROI) of the fundus photography is an important task in medical image processing. It contains a lot of information related to the diagnosis of the retinal disease. So the determination of this ROI is a very influential first step in fundus image processing later. This research proposed a threshold method of segmentation to determine ROI of the fundus photography automatically. Data to be elaborated were the fundus photography’s of 13 patients, captured using Nonmyd7 camera of Kowa Company Ltd in Dr. M. Djamil Hospital, Padang. The results of this processing could determine ROI automatically. The automatic cropping successfully omits as much as possible the non-medical areas shown as darkbackground, while still maintaining the whole medical areas, comprised the posterior pole of retina captured through the pupil. Thus, this method is helpful in further image processing of posterior areas. We hope that this research will be useful for researchers.