Lam Benson Y, Yan Hong
Department of Electronic Engneering, City University of Hong Kong, Kowloon, Hong Kong.
IEEE Trans Med Imaging. 2008 Feb;27(2):237-46. doi: 10.1109/TMI.2007.909827.
In this paper, a method is proposed for detecting blood vessels in pathological retina images. In the proposed method, blood vessel-like objects are extracted using the Laplacian operator and noisy objects are pruned according to the centerlines, which are detected using the normalized gradient vector field. The method has been tested with all the pathological retina images in the publicly available STARE database. Experiment results show that the method can avoid detecting false vessels in pathological regions and can produce reliable results for healthy regions.
本文提出了一种用于检测病理性视网膜图像中血管的方法。在所提出的方法中，使用拉普拉斯算子提取血管样物体，并根据使用归一化梯度向量场检测到的中心线修剪噪声物体。该方法已在公开可用的STARE数据库中的所有病理性视网膜图像上进行了测试。实验结果表明，该方法可以避免在病理区域检测到假血管，并且可以为健康区域产生可靠的结果。
