中文摘要：

针对眼底图像血管分割问题,本文研究了一种基于Hessian矩阵多尺度线状滤波的血管分割方法。首先,采用基于Hessian矩阵的多尺度线状滤波增强血管区域,然后对增强后图像采用最大类间方差阈值法进行阈值分割,最后得到血管的二值化分割结果。本文采用了DRIVE数据库眼底图像进行实验验证,实验表明本文方法能够自动地得到较完整和准确的眼底图像血管分割结果。

英文摘要：

In this study,we propose a novel vessel segmentation approach using Hessian-based linear filter method to segment vessels on fundus images.Firstly we adapt multi-scale linear filtering based on Hessian matrix to enhance vessels.Further,we use Otsu thresholding method to segment the vessel region.Finally,the binary segmentation results for the vessels are achieved.We select fundus images from DRIVE database for the experiments.The experiments demonstrate that the proposed method can automatically yield more complete and accurate results.