Hoover Adam, Goldbaum Michael
Electrical and Computer Engineering Department, Clemson University, Clemson SC 29634-0915, USA.
IEEE Trans Med Imaging. 2003 Aug;22(8):951-8. doi: 10.1109/TMI.2003.815900.
We describe an automated method to locate the optic nerve in images of the ocular fundus. Our method uses a novel algorithm we call fuzzy convergence to determine the origination of the blood vessel network. We evaluate our method using 31 images of healthy retinas and 50 images of diseased retinas, containing such diverse symptoms as tortuous vessels, choroidal neovascularization, and hemorrhages that completely obscure the actual nerve. On this difficult data set, our method achieved 89% correct detection. We also compare our method against three simpler methods, demonstrating the performance improvement. All our images and data are freely available for other researchers to use in evaluating related methods.
我们描述了一种在眼底图像中定位视神经的自动化方法。我们的方法使用一种名为模糊收敛的新算法来确定血管网络的起源。我们使用31张健康视网膜图像和50张患病视网膜图像对我们的方法进行评估，这些图像包含各种不同的症状，如血管迂曲、脉络膜新生血管和出血，这些出血完全遮挡了实际的神经。在这个具有挑战性的数据集中，我们的方法实现了89%的正确检测率。我们还将我们的方法与三种更简单的方法进行了比较，证明了性能的提升。我们所有的图像和数据都可免费供其他研究人员用于评估相关方法。
