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Abstract
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Article Information:
Image Segmentation Technology Application in Diabetic Retinopathy Analysis
Jin-Yuan Wu, Guo-Dong You, Feng-Yuan Sun, Dong-Run Tang and Tong Wu
Corresponding Author: Jin-Yuan Wu
Submitted: September 24, 2012
Accepted: November 08, 2012
Published: March 20, 2013 |
Abstract:
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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.
Key words: Diabetes, image diagnosis, retinal vascular, segmentation, , ,
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Cite this Reference:
Jin-Yuan Wu, Guo-Dong You, Feng-Yuan Sun, Dong-Run Tang and Tong Wu, . Image Segmentation Technology Application in Diabetic Retinopathy Analysis. Research Journal of Applied Sciences, Engineering and Technology, (09): 2748-2753.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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