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基于ICP和SVD的视网膜图像特征点配准算法
引用本文:张二虎,卞正中,张燕,段敬红,吴学毅.基于ICP和SVD的视网膜图像特征点配准算法[J].小型微型计算机系统,2004,25(10):1811-1813.
作者姓名:张二虎  卞正中  张燕  段敬红  吴学毅
作者单位:1. 西安交通大学,生命科学与技术学院,陕西,西安,710049;西安理工大学,信息科学系,陕西,西安,710048
2. 西安交通大学,生命科学与技术学院,陕西,西安,710049
3. 西安理工大学,信息科学系,陕西,西安,710048
基金项目:国家自然科学基金(60071029)资助.
摘    要:视网膜图像配准是视网膜眼底疾病诊断及激光治疗中的关键一步 .针对荧光造影视网膜图像和无赤光视网膜图像的特点 ,提出一种采用迭代最近点 (ICP)和奇异值分解 (SVD)的方法 ,用于视网膜图像之间的配准 .即用 ICP算法确定两个特征点集的对应性及点集数目不等的问题 ,用 SVD方法求解空间变换参数 .实验证明在一个点集数目缺少75 %的情况下 ,算法仍然能达到较好的配准精度 ,可以满足荧光造影和无赤光视网膜图像之间的配准 ,且具有运算速度快的特点

关 键 词:图像配准  视网膜图像  特征点对应  奇异值分解
文章编号:1000-1220(2004)10-1811-03

New Method for Automatic Retinal Images Registration Combined with ICP and SVD
ZHANG Er hu ,BIAN Zheng zhong ,ZHANG Yan ,DUAN Jing hong ,WU Xue yi.New Method for Automatic Retinal Images Registration Combined with ICP and SVD[J].Mini-micro Systems,2004,25(10):1811-1813.
Authors:ZHANG Er hu    BIAN Zheng zhong  ZHANG Yan  DUAN Jing hong  WU Xue yi
Affiliation:ZHANG Er hu 1,2,BIAN Zheng zhong 1,ZHANG Yan 2,DUAN Jing hong 2,WU Xue yi 2 1
Abstract:Retinal images registration is an important step in retinal fundus diseases diagnosis and laser treatment in order to combine different retinal images information, such as fluoroscein angiography image (FA ) and red free image(RF). A new method combined with ICP and SVD is proposed for retinal images registration. Retinal vascular branch points and cross points are used as feature point set and the feature points correspondence in RF and FA image as well as the difference in amount are solved by ICP method, while the transform parameters is solved by SVD method. The experiment result shows the proposed method can register points sets precisely even on loss of 75 percent points in one point set and performs very fast.
Keywords:image registration  retinal images  feature points correspondence  singularity value decomposition  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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