摘要
针对眼底图像中视网膜血管结构的划分问题,提出一种自适应的广度优先搜索算法。首先,基于视网膜血管的结构提出层次特征的概念并进行特征提取;然后,对分割的视网膜血管进行分析及处理,提取得到多个无向图子图;最后,使用自适应的广度优先搜索算法对每个子图中的层次特征进行分类。视网膜血管结构的划分问题被转化为层次特征的分类问题,通过对视网膜血管中的层次特征进行分类,包含这些层次特征的视网膜血管段的层次结构就可以被确定,从而实现视网膜血管结构的划分。该算法运用于公开的眼底图像数据库时具有良好的性能。
To solve the problem of retinal vascular structure division in fundus images,an adaptive breadth-first search algorithm was proposed.Firstly,based on the structure of retinal vessels,the concept of hierarchical features was proposed and feature extraction was carried out.Then,the segmented retinal vessels were analyzed and processed,and several undirected subgraphs were extracted.Finally,the adaptive breadth-first search algorithm was used to classify the hierarchical features in each subgraph.The division of retinal vascular structure was transformed into the classification of hierarchical features.By classifying the hierarchical features of retinal vessels,the hierarchical structures of retinal vascular segments containing these hierarchical features were able to be determined,thus realizing the division of retinal vascular structures.The algorithm has excellent performance when applied to public fundus image databases.
作者
余林芳
邓伏虎
秦少威
秦志光
YU Linfang;DENG Fuhu;QIN Shaowei;QIN Zhiguang(College of Information and Software Engineering,University of Electronic Science and Technology of China,Chengdu Sichuan 610054,China)
出处
《计算机应用》
CSCD
北大核心
2019年第9期2575-2579,共5页
journal of Computer Applications
基金
国家自然科学基金面上项目(61672135)
四川省科技支撑计划项目(2018GZ0236,2017FZ0004)~~
关键词
眼底图像
层次特征
结构划分
血管分支
分类算法
fundus image
hierarchical feature
structure division
bifurcation
classification algorithm