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.


Mohd Aris, Nursyarmimi Liyana (2013) DETECTION OF MICROANEURYSMS TO INDICATE THE DIABETIC RETINOPATHY DISEASE. Universiti Teknologi Petronas. (Unpublished)

[img] PDF
Download (1516Kb)


Early detection of diabetic retinopathy is essential to avoid blindness. By detecting the early signs of the disease which is the microaneurysms, the progress of the disease can be better controlled. However, there is lack of ophthalmologists to screen hundreds of retina images. Hence, a computer-aided system is developed to help in detecting the microaneurysms in the fundus images. The objectives of this project is to develop a MATLAB coding to detect the microaneurysms which are the early signs of diabetic retinopathy disease and to evaluate between the retina images having microaneurysms and those of not having microaneurysms. The fundus images are retrieved from the online public database that supplies the fundus images for research purpose. This project will focus on detecting only microaneurysms. Thresholding, shade correction, morphological operation and rule-base classifier have been developed in this project. The experiment results demonstrated that microaneuryms could be detected in the fundus images. However, not all microaneurysms are detected.

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: Users 2053 not found.
Date Deposited: 24 Oct 2013 15:33
Last Modified: 25 Jan 2017 09:39
URI: http://utpedia.utp.edu.my/id/eprint/9796

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...