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Application of PSO algorithm with dynamic inertia weight in medical image thresholding segmentation

机译:动态惯性权重的PSO算法在医学图像阈值分割中的应用

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Medical image segmentation is an important application in medical image processing. In order to improve the efficiency of Medical image segmentation, a method to select optimal threshold by PSO algorithm with Dynamic Inertia Weight(DW-PSO) is proposed. It makes the proportion of the local and global searching ability can be effectively controlled in the whole process of optimal searching. Compared with PSO algorithm, DW-PSO gets better effects of image segmentation. The data of experiment shows that DW-PSO has obvious advantage in computing efficiency, the precision and stability of searching optimal threshold, as well as the effect of image segmentation.
机译:医学图像分割是医学图像处理中的重要应用。为了提高医学图像分割的效率,提出了一种采用动态惯性权重(DW-PSO)的PSO算法选择最优阈值的方法。这使得局部和全局搜索能力的比例在整个优化搜索过程中都可以得到有效控制。与PSO算法相比,DW-PSO具有更好的图像分割效果。实验数据表明,DW-PSO在计算效率,搜索最优阈值的精度和稳定性以及图像分割效果方面具有明显的优势。

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