International Journal of Electrical and Computer Engineering
Vol 8, No 6: December 2018

An Automatic ROI of The Fundus Photography

Jufriadif Na'am (Universitas Putra Indonesia YPTK Padang)
Johan Harlan (Universitas Gunadarma Jakarta)
Irawadi Putra (Rumah Sakit Stroke Nasional Bukittinggi)
Romi Hardianto (Universitas Putra Indonesia YPTK Padang)
Mutiana Pratiwi (Universitas Putra Indonesia YPTK Padang)

Article Info

Publish Date
01 Dec 2018


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.

Copyrights © 2018

Journal Info





Computer Science & IT Electrical & Electronics Engineering


International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of ...