A Method of Vessel Segmentation Based on BP Neural Network for Color Fundus Images

被引：0

作者：

Xia, Haiying ^{[1
]}

Deng, Shuaifei ^{[1
]}

机构：

[1] Guangxi Normal Univ, Dept Elect Engn, Guilin 541004, Guangxi, Peoples R China

来源：

Biometric Recognition | 2016年 / 9967卷

关键词：

Color fundus image; Vessel segmentation; Gaussian matched filter; Hessian matrix; BP neural network; RETINAL IMAGES; BLOOD-VESSELS; CLASSIFICATION;

D O I：

10.1007/978-3-319-46654-5_42

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The morphological and structural changes of retinal vessels are very important for the early diagnosis of many diseases. In view of the characteristics of retinal vessels, we present a new method for vessel segmentation based on BP neural network. This method consists of four steps: histogram equalization of green channel, morphological processing, Gaussian matched filter and Hessian matrix. The fundus vessels are segmented by BP neural network. We conduct the experiments on DRIVE and STARE database. The experiment results show that our method has good effect on the segmentation of fundus retinal vessels.x

引用

页码：383 / 390

页数：8

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