计算机科学 ›› 2013, Vol. 40 ›› Issue (7): 273-276.
杜晓刚,党建武,王阳萍,刘新国,李莎
DU Xiao-gang,DANG Jian-wu,WANG Yang-ping,LIU Xin-guo and LI Sha
摘要: 针对互信息配准方法中目标函数因存在多极值而容易陷入局部最优的问题,提出了一种基于萤火虫算法改进优化策略的互信息医学图像配准算法。该算法使用归一化互信息作为相似性测度,用萤火虫所处位置来表示配准参数,根据每个萤火虫的位置计算互信息函数值并将其作为当前萤火虫的亮度,通过亮度和吸引度的迭代更新来寻找互信息函数取最优解时的最佳配准参数。实验结果表明,该方法克服了互信息函数容易陷入局部最优的问题,有效地提高了配准精度。
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