Differential evolution with Powell's direction set method in medical image registration

Differential evolution with Powell's direction set method in medical image registration
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医学图像配准中鲍威尔方向集法的差分进化

DOI:
10.1109/isbi.2004.1398642
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发表时间:
2004
期刊:
2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821)
影响因子:
--
通讯作者:
Xiaoyan Xu
Xiaoyan Xu
中科院分区:
--
文献类型:
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作者:
R. Dony;Xiaoyan Xu

文献摘要

被引文献

相似文献

Powell方向集方法(PDSM)是一种广泛应用于图像配准的方法。然而,它的性能被发现是强烈依赖于初始解。在本文中,我们提出了一种新的组合PDSM与初始化的差分进化遗传算法。为了进一步提高收敛性,采用了多分辨率方法。互信息被选为本次调查的误差度量。实验结果表明,该方法有效地提高了PDSM的性能,具有较强的鲁棒性。
Powell's direction set method (PDSM) is widely used in image registration. However, its performance is found to be strongly dependent on the initial solution. In this paper we propose a novel combination of PDSM with initialization by the differential evolution genetic algorithm. To further improve the convergence, a multi-resolution approach is taken. Mutual information is chosen as the error metric for this investigation. The results presented show that this proposed method does significantly improve the performance of PDSM and it is efficient and robust.