基于混合优化算法的医学图像配准技术

在图像配准的优化算法中, 为避免使算法陷入局部最优的问题。 因此, 提出基于最大互信息和混合优化算法的医学图像配准算法, 利用模拟退火算法思想改进粒子群优化算法, 提高了全局寻优的能力, 能更好地跳出局部最优。 由实验结果可知, 该方法不仅具有较好的图像配准精度, 对椒盐噪声和高斯噪声也有较好的鲁棒性。

Optimization Medical Image Registration Based on Mixed Optimization Algorithm

Medical image registration technique is floating medical image and the reality of physical space match point, which helps doctors to quickly find the lesion area. In the image registration optimization algorithm, if the optimal value is always the same, it will be obtained locally optimal solution. Therefore, we propose optimization algorithm based on mutual information and mixed medical image registration algorithm, and improves the ability of global optimization based on this technology. Experimental results show that it has better image registration accuracy, and has robustness on salt and pepper noise and Gaussian noise.