增生性糖尿病视网膜病变的自动检测

Snehal Dilip Kasurde, S. Randive
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引用次数: 13

摘要

增殖性糖尿病视网膜病变(PDR)是视网膜病变的一个阶段,血管增生,即生长。PDR的指征是新生血管的形成,即异常新生血管的生长。在这里,首先通过将图像转换为二值图像来进行血管分割。所以血管和非血管部分是分开的。通过形态学运算,以结构元素为线,对直血管进行检测和去除。剩下的部分是新的血管。这些形态学操作可以在45°,90°,135°,180°等多个方向上进行。切除直血管以区分新生血管和正常血管。形态学变薄仅用于变薄新生血管。特征提取的方法是将图像分成50 × 50的窗口,计算每个窗口的血管像素数。如果容器像素数大于阈值,则检测到PDR。
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An automatic detection of Proliferative Diabetic Retinopathy
The Proliferative Diabetic Retinopathy (PDR) is a stage of retinopathy where blood vessels proliferate i.e. grows. The indication of PDR is neovascularization, the growth of abnormal new vessels. Here, first vessel segmentation is done by converting image into binary image. So that vessel and non-vessel part is seperated. By using morphological operation and structuring element as line, straight vessels are detected and removed. So remaining part is new vessels. These morphological operations are taken for multiple orientations like 45°, 90°, 135°, 180°. Straight vessels were removed to distinguish new vessels from normal vasculature. Morphological thinning is used to thin only new vessels. Feature extraction is done by windowing image into 50 by 50 in order to calculate number of vessel pixels in every window. If numbers of vessel pixels are greater than threshold value then PDR is detected.
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