计算机工程Issue(12)：237-241,5.DOI:10.3969/j.issn.1000-3428.2013.12.050
基于加速鲁棒特征的眼底图像配准改进方法
Improved Fundus Image Registration Method Based on Speeded-up Robust Feature
魏丽芳 1林甲祥1
作者信息
- 1. 福建农林大学计算机与信息学院，福州 350002
- 折叠
摘要
Abstract
The improved method based on Speeded-up Robust Feature(SURF) is proposed to ensure the accuracy and reduce time loss of the fundus image registration. The method is based on SURF feature extraction. The BBF algorithm is used to match feature point, and the keypoints’ orientations and the geometrical size of matches are used to exclude the incorrect matches. The hierachical estimator and model selection are combined to calculate the transformation parameter. And the registration correction is done to yield better transformation parameter. Experimental results show that the mean square error value of registration accuracy is less than 1, and can meet the accuracy requirements and improve the processing speed.关键词
图像配准/加速鲁棒特征/特征提取/特征匹配/变换模型/层次估计/模型选择Key words
image registration/Speeded-up Robust Feature(SURF)/feature extraction/feature match/transformation model/hierachical estimation/model selection分类
信息技术与安全科学引用本文复制引用
魏丽芳,林甲祥..基于加速鲁棒特征的眼底图像配准改进方法[J].计算机工程,2013,(12):237-241,5.
