Retinal Image Registration based on Auto-Adaptive SIFT and Redundant Keypoint Elimination Method

被引：0
|
作者：
Hossein-Nejad, Zahra [1 ]
Nasri, Mehdi [2 ]
机构：
[1] Shiraz Univ, Dept Elect Engn, Shiraz, Iran
[2] Islamic Univ, Khomeinishahr Branch, Dept Elect Engn, Esfahan, Iran
来源：
2019 27TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2019) | 2019年
关键词：
Retinal Image Matching; A(2) SIFT;
D O I：
10.1109/iraniancee.2019.8786443
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Retinal image matching is a main step in many applications, including retinal image registration and retinal image mosaicking. The A2SIFT algorithm is one of the improved versions of SIFT algorithm, originally proposed for matching aerial imagery. One of the most important weaknesses of A2SIFT algorithm in retinal image matching is the contrast threshold value and the presence of a redundant feature. In this paper, first the contrast threshold value of this method has been modified and optimized for retinal image matching. After that, RKEM algorithm is used to increase its efficiency. The results of the experiments show the high efficiency and accuracy of the proposed method in retinal image matching.
引用
收藏
页码：1294 / 1297
页数：4
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