论文标题
通过使用熵阈值使用Gabor过滤器检测视网膜血管
Detection of Retinal Blood Vessels by using Gabor filter with Entropic threshold
论文作者
论文摘要
糖尿病性视网膜病是视觉缺乏的基本原因。本文介绍了一种编程策略，以识别和分配血管。血管的位置是发现糖尿病性视网膜病的基本大步，因为血管是视网膜图片的典型元素。血管的位置可以帮助眼科医生在之前和更快地识别疾病。血管通过在两个凝视和驱动的两个可自由访问的视网膜数据库上利用Gobar过滤器来识别和擦除。通过对比物理截面的图片和比较产量图片，通过熵阈值进行熵阈值容器像素分割的Gabor滤波器，通过对比进行了定量评估分割计算的精确性，这是更好的容器，其假阳性部分较小。
Diabetic retinopathy is the basic reason for visual deficiency. This paper introduces a programmed strategy to identify and dispense with the blood vessels. The location of the blood vessels is the fundamental stride in the discovery of diabetic retinopathy because the blood vessels are the typical elements of the retinal picture. The location of the blood vessels can help the ophthalmologists to recognize the sicknesses prior and quicker. The blood vessels recognized and wiped out by utilizing Gobar filter on two freely accessible retinal databases which are STARE and DRIVE. The exactness of segmentation calculation is assessed quantitatively by contrasting the physically sectioned pictures and the comparing yield pictures, the Gabor filter with Entropic threshold vessel pixel segmentation by Entropic thresholding is better vessels with less false positive portion rate.
