Abstract
Diabetic Retinopathy (DR) is a common complication of diabetes that damages the eye's retina. Recognition DR as early as possible is very important to protect patients' vision. We propose a method for screening DR and distinguishing Prolifetive Diabetic Retinopathy (PDR) from Non-Prolifetive Retinopathy (NPDR) automatically through color retinal images. This method evaluates the severity of DR by analyzing the retinal vessel patterns. The retinal vessels are automatically extracted using multiscale matched filters. Then the vessel patterns are analyzed by extracting the vessel net density. The experimental results demonstrate that it is a possible solution to screen DR and distinguish PDR from NPDR by only using color retinal images.
Original language | English |
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Title of host publication | Proceedings of the 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007 |
Pages | 574-578 |
Number of pages | 5 |
Publication status | Published - 1 Dec 2007 |
Event | 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007 - Las Vegas, NV, United States Duration: 25 Jun 2007 → 28 Jun 2007 |
Conference
Conference | 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007 |
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Country/Territory | United States |
City | Las Vegas, NV |
Period | 25/06/07 → 28/06/07 |
Keywords
- Color retinal images
- DR
- Multiscale matched filters
- NPDR
- PDR
- Retinal vessel extraction
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition