Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, dissertation, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.


Raja Badrol Hisham, Raja Muhammad Nazirul Mubin (2016) FULLY AUTOMATED DIABETIC RETINOPATHY MONITORING AND GRADING SYSTEM. IRC, Universiti Teknologi PETRONAS. (Submitted)

[img] PDF
Restricted to Registered users only

Download (1023Kb)


Diabetic retinopathy (DR) is an eye-related disease due to diabetes mellitus. Mainly, the complication is cause by losses of capillaries in the perifoveal capillary network inside retina. Retina Fundus image, Foveal avascular zone (FAZ) that located near macula can be used for diagnosis of DR. Research show that the radius of FAZ can determine the severity level of DR. Semi-automated DR grading and monitoring system has been developed for clinical practice. This system had been proven to achieve high sensitivity, accuracy and specificity. However the process need manual selection of center of FAZ which can be uncertained to the user other than train operator or ophthalmologists. The objective of this project is to eliminate the user input by integrating an automatic selection center of macula algorithm with existing semi-automated DR grading and monitoring system. This is to make DR grading and monitoring system fully automated. In automatic selection center of macula algorithm, optic disc which is landmark of retina fundus image will be identified first.

Item Type: Final Year Project
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 01 Mar 2017 11:38
Last Modified: 01 Mar 2017 16:33
URI: http://utpedia.utp.edu.my/id/eprint/17194

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...