CAJ | 학술논문

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。
위료경호지평형전통FCM급기상관개진산법적분할효과여분할효솔문제，제출료일충기우봉치검측적쾌속FCM도상분할산법。수선기우봉치검측책략대취류중심진행초시화；연후재초시화취류중심적기출상대의학도상진행분할。기본질시운용봉치검측기술지도취류중심적초시화，이사초시화적취류중심진가능고근최종적취류중심，종이이제고산법적공작효솔。재의학도상상진행적실험표명，산법가이유효지제고도상분할적효솔，병능득도흔호적분할효과。
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.