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Image segmentation was adopted to process and analyze diabetic retinopathy vasculars so as to improve the efficiency and precision of clinical diagnosis. By means of selecting clinical fundus images as the research object and appling computer simulation software, retinal vessels were divided and extracted. After normal and pathological retinal image were processed and analysised, the vasculars were more fully revealed, and more precise than fundus images and fundus fluorescein angiography(FFA). Processing and analyzing of diabetic retinopathy vasculars based on image segmentation are more detail and clear, and precision has been significantly improved.