Extraction algorithm of image feature point based on multi-scale fusion information

被引:0
|
作者
Tian, Y. [1 ]
Yuan, H. [1 ,2 ]
Gai, Shaoyan [1 ,2 ]
机构
[1] Nanjing Normal Univ Special Educ, Sch Math & Informat Sci, Nanjing 210096, Jiangsu, Peoples R China
[2] Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China
关键词
image processing; image fusion; weak texture; multi-scale; extraction of key points;
D O I
10.1117/12.2542905
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
In order to extract the key points of weak texture regions in two-dimensional image matching, a linear multi-scale image enhancement matching algorithm based on image fusion technology is proposed in this paper. The algorithm mainly generates the weighted image of the original image according to the saturation, brightness, contrast and other measurement factors, enhances the distribution weight of weak texture, and makes more detail information fusion into the original image through the reconstruction of Gauss pyramid. The experimental results show that the algorithm effectively enhances the details of the weak texture region of the image, and can obtain more feature points for subsequent image matching.
引用
收藏
页数:5
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