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     Research Journal of Applied Sciences, Engineering and Technology


Image Segmentation Technology Application in Diabetic Retinopathy Analysis

1Jin-Yuan Wu, 2Guo-Dong You, 1Feng-Yuan Sun, 1Dong-Run Tang and 1Tong Wu
1Department of Ophthalmology, Tianjin First Center Hospital, Tianjin, China
2College of Electronic Information and Automation, Tianjin University of Science and Technology, Tianjin, China
Research Journal of Applied Sciences, Engineering and Technology  2013  9:2748-2753
http://dx.doi.org/10.19026/rjaset.5.4801  |  © The Author(s) 2013
Received: September 24, 2012  |  Accepted: November 08, 2012  |  Published: March 20, 2013

Abstract

Selection of clinical image of the fundus and fundus fluoresce in angiography (fundus fluoresce in angiography, FFA) image as the research object, using image segmentation method on diabetic retinopathy (Diabetic Retinopathy, DR) vascular processing and analysis, in order to improve clinical diagnostic accuracy and efficiency. The experimental results show that image processing and analysis methods for normal retinal images and image segmentation are relatively complete vascular lesions and the image of the fundus and fundus fluoresce in angiography (Fundus Fluoresce in Angiography FFA) images as compared to the more detailed and clear, precision is improved obviously. As the eye fundus blood vessel lesions in the early discovery, early diagnosis and further therapy provides a new theoretical basis.

Keywords:

Diabetes, image diagnosis, retinal vascular, segmentation,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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