Image segmentation of MRI based on improved anttree clustering algorithm
Li Chenling, Zeng Wenhua, Zhuang Jiahe · 2008
In this paper, an improved method is proposed based on AntTree clustering algorithm to deal with MRI image. This algorithm uses a new tree-structure model to accelerate the calculation and combines greedy algorithm to update the cluster centre. Compared with K-means and FCM algorithms, the results in the experiment show that the improved AntTree clustering algorithm is a better method in image segmentation of MRI and it also significantly improves the clustering process.