Improved Particle Swarm Optimization Image Registration Based On Mutual Information

被引：3
|
作者：
Yang Yonghong [1 ]
Li Jiying [1 ]
Wen Qiang [1 ]
Zhou Tao [1 ]
机构：
[1] Lanzhou Jiaotong Univ, Coll Elect & Informat Engn, Lanzhou 730070, Peoples R China
来源：
2019 11TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2019) | 2019年
关键词：
Mutual Information; PSO; Medical Image Registration;
D O I：
10.1109/ICMTMA.2019.00105
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An improved particle swarm optimization (PSO) image registration algorithm based on mutual information is proposed. Firstly, the mutual information value of the image is calculated, and the mutual information is used as the fitness function of PSO to seek the global optimal value of the image and realize image registration. Then, the registration and the floating image are fused. The results show that the algorithm not only improves the ability of optimization, speeding up the speed and accuracy of the algorithm, but also makes the results of image registration more accurate.
引用
收藏
页码：450 / 453
页数：4
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