Improved Artificial Immune-based Image Registration

被引：0
|
作者：
Wang, Hong [1 ]
Chen, Xianyi [2 ]
机构：
[1] Shangdong Coll Elect Technol, Dept Automat Engn, Jinan 250014, Peoples R China
[2] Hainan Univ, Coll Appl Sci & Technol, Haikou 571101, Peoples R China
来源：
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION (ICMS2011), VOL 1 | 2011年
关键词：
artificial immune algorithm; Powell method; image registration; mutual information;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
To improve the convergence speed of image registration and ensure the algorithm converges to the global optimum, a hybrid search strategy combined improved artificial immune algorithm with Powell method is proposed, referred to as AIAP (Artificial Immune Algorithm with Powell method, AIAP). In AIAP, improved artificial immune algorithm is used as global search to find the approximately value, and Powell method is used as local search to find the precise value. Experimental results indicate that the proposed algorithm can not only overcome the local extremum in the previous evolution period, but also keep the rapidity in the later period. It can achieve better accuracy and robustness.
引用
收藏
页码：243 / 246
页数：4
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