Diabetic Retinopathy Detection using MATLAB

Electronics and communication engineering 1
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Electronics and communication engineering 2
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Problem statement
Diabetic retinopathy is a serious eye infection which can easily result in blindness hence
vision loss. Some of the health threats in Oman and most parts of the world are Diabetes mellitus
and metabolic disorder (ucchiatti, 2017). The complication of diabetes linked to the retina of the
eye is diabetic retinopathy. And if a patient has the complication he or she must undergo serious
screening of the eye done periodically. And this may be a very complication to the doctor and
also the patient.
For the biomedical engineering, automatic recognition of diseases, as well as medical imaging,
need a very high computational power to process complicated problem. Diabetic Retinopathy
is a concern which can result in blindness in a patient and it is very common in people of
Middle East countries for example Oman. Hence this research aims to propose and later
implement automatic detection system of Diabetic Retinopathy based on taking the images of
the patient eye (Wang, 2017). And for a realization of this project, a software called MATLAB
software is used to do the processing and it will be employed to boost the optometrist
performance. Figure 1 illustrates the image of a healthy retina. Due to diabetics, the blood
vessel this can lead to diabetic retinotherapy. Automated detection of retinotherapy is explored
in this project work.
Figure 1: Showing the retina (Wang, 2017).
Diabetic Retinopathy Detection using MATLAB

Electronics and communication engineering 3
AIMS AND OBJECTIVE
The project research proposal aims to diagnose retinal captured image to help in
the identification of signs of diabetic retinopathy illustrated via dark sports in images of
the retina. The image will be processed via MATLAB which will read the image and
then process it before it quantifies the dark spots to obtain symptoms of diabetic
retinopathy.
Objective
Below are some of the objective for the realization of this project proposal;
i. To identify and segment the diabetic retinopathy.
ii. To implement an automated system that uses machine learning and image
processing to classify diabetic retinothepic healthy retinal
iii. To give a hybrid solution for diabetic retinopathy through developing
MATLAB GUI interfaced with Hardware

Electronics and communication engineering 4
Block diagram
The whole operation of the proposed solution of the project is illustrated below;
Figure 2: Showing a block diagram of the Diabetic Retinopathy Detection using MATLAB.
From the block diagram given in Figure 2, the input of the images fundus captured is transferred to
the processing device (CPU) which can be laptops and computer in most cases (Yogesan, 2014). This
processing gadget must have a MATLAB software installed since the processing is purely done using this
software. Inside the CPU the processed image is transferred to the segmentation where the image captured is
fully segmented to help obtain smaller pixels (this gives a higher resolution). From segmentation, the feature
of the image capture is being extracted to help get the classifier stages. The image is classified and this
makes the image to be in its decoded form and it can be fully visualized (Zhang, 2015). At this point, the
captured image can be fully displayed to the HD screen. The results are always displayed at screen viewer at
a higher resolution and doctor’s interpretation.