峰值检测 FCM 算法的医学图像分割

摘要

为了更好地平衡传统FCM及其相关改进算法的分割效果与分割效率问题，提出了一种基于峰值检测的快速FCM图像分割算法。首先基于峰值检测策略对聚类中心进行初始化；然后在初始化聚类中心的基础上对医学图像进行分割。其本质是运用峰值检测技术指导聚类中心的初始化，以使初始化的聚类中心尽可能靠近最终的聚类中心，从而以提高算法的工作效率。在医学图像上进行的实验表明，算法可以有效地提高图像分割的效率，并能得到很好的分割效果。%In order to balance the segmentation results and efficiency of traditional FCM and related improved algo-rithms, a fast FCM segmentation scheme based on peak detection is proposed in this paper.First the cluster cen-troids are initialized based on peak detection strategy, and then the medical image segmentation is performed based on the initial cluster centroids.The nature of the proposed scheme is to guide the initialization of cluster centroids with peak detection, which can make the initial centroids close to the final centroids and further improve the effi-ciency of the algorithm.Experiments on the medical images showed that the proposed scheme can improve the seg-mentation efficiency greatly and obtain good segmentation results.