A New Diabetic Retinopathy Vascular Image Segmentation Method

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Abstract:

The clinical image of the fundus and fundus fluorescein angiography (fundus fluorescein angiography, FFA) image as the object of study, this paper puts forward a new diabetic retinopathy (diabetic retinopathy DR) images of the vessel network segmentation method. The method used in two-dimensional Gauss matched filter preconditioning enhances vascular basis selection based on the optimal entropy method to extract the main vessel, and distributed genetic algorithm combined with Otsu to extract the transition zone, while the use of regional connectivity analysis the extracted main blood vessels and the transition zone, segmentation of the final vessel. The simulation experiment results show that the method for normal retinal images and image segmentation are relatively complete vascular lesions, and the image of the fundus and fundus fluorescein angiography (fundus fluorescein 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; DIAGNOSIS; IMAGE SEGMENTATION; RETINAL VASCULAR

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/asl.2012.2254

Publication date: March 1, 2012

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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