Exudates and optic disk detection in retinal images of diabetic patients

2014 ◽  
Vol 27 (1) ◽  
pp. 172-192 ◽  
Author(s):  
Vesna Zeljković ◽  
Milena Bojic ◽  
Shengwei Zhao ◽  
Claude Tameze ◽  
Ventzeslav Valev
Keyword(s):  
Optic Disk ◽  
Retinal Images ◽  
Diabetic Patients

Vessel-based hybrid optic disk segmentation applied to mobile phone camera retinal images

2022 ◽  
Author(s):  
Tin Tin Khaing ◽  
Pakinee Aimmanee ◽  
Stanislav Makhanov ◽  
Hideaki Haneishi
Keyword(s):  
Mobile Phone ◽  
Optic Disk ◽  
Retinal Images ◽  
Mobile Phone Camera

Retinal Images: Optic Disk Localization and Detection

2010 ◽  
pp. 40-49 ◽  
Author(s):  
M. Usman Akram ◽  
Aftab Khan ◽  
Khalid Iqbal ◽  
Wasi Haider Butt
Keyword(s):  
Optic Disk ◽  
Retinal Images

scholarly journals FPGA and MATLAB Based Solution for Retinal Exudate Detection

2020 ◽  
Vol 8 (6) ◽  
pp. 727-734
Keyword(s):  
Image Processing ◽  
Diabetic Retinopathy ◽  
Embedded System ◽  
System Approach ◽  
Optic Disk ◽  
Retinal Images ◽  
Medical Complications ◽  
Application Software ◽  
Medical Disorder ◽  
Sugar Levels

Now-a-days, image processing is extensively used for analysis of several biomedical images to identify the complications in one’s health. Most of the solutions offered are based on application software. Since these solutions are expensive, an embedded system approach is being explored in the recent years, considering its cost-effectiveness. This paper propounds an embedded system approach to identify exudates in retinal images. These exudates are often identified as indicators of a medical disorder known as Diabetic Retinopathy, which is one of the medical complications that arise due to high blood sugar levels. The algorithm employs statistical analysis using histogram to enhance the contrast of the images, thus assisting in extracting exudates by utilising the elementary concepts of image processing. Since the pixel characteristics of exudates and optic disk match, it becomes inevitable to first eliminate optic disk from retinal images, and then extract exudates. The prototype has been developed on MATLAB and is downloaded on an Artix 7 FPGA with minimal usage of its resources. The system proposed in this paper results in an accuracy of 90%.

Optic Disk Segmentation for Glaucoma Detection in Retinal Images

2020 ◽  
pp. 411-420
Author(s):  
G. Obulesu ◽  
Fahimuddin Shaik ◽  
C. Sree Lakshmi ◽  
V. Vijay Vardhan Kumar Reddy ◽  
M. Nishanth ◽  
...  
Keyword(s):  
Optic Disk ◽  
Retinal Images ◽  
Glaucoma Detection
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