A SIFT-Based Image Fusion Method

被引：0
|
作者：
Lu, Danxia [1 ]
Shi, Hongjian [1 ]
机构：
[1] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
来源：
PROCEEDINGS OF 2018 14TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) | 2018年
关键词：
component; formatting; style; styling; insert;
D O I：
暂无
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：
Aimed at the wrong matching appearance when applying Scale Invariant Feature Transform (SIFT) to image fusion. In this paper, we propose to use the SIFT to find the featured points and matched featured points primarily for image fusion. The double Otsu method and average distance threshold segmentation method are used to remove mismatching points and realize an accurate image registration. Finally, we apply the weight average fusion method to blend source images to obtain the final fused image. The results show that the proposed method can automatically realize high precision in fused images and achieve natural image fusion.
引用
收藏
页码：375 / 378
页数：4
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