Title :
Image segmentation of MRI based on improved anttree clustering algorithm
Author :
Chenling, Li ; Wenhua, Zeng ; Jiahe, Zhuang
Author_Institution :
Key Lab. for Intell. Inf. Technol. of Fujian Province, Xiamen Univ., Xiamen, China
Abstract :
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.
Keywords :
greedy algorithms; image segmentation; magnetic resonance imaging; trees (mathematics); MRI; anttree clustering algorithm; greedy algorithm; image segmentation; Clustering algorithms; Greedy algorithms; Image segmentation; Intelligent systems; Knowledge engineering; Magnetic resonance imaging; Partitioning algorithms; Path planning; Process planning; Software algorithms;
Conference_Titel :
Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-2196-1
Electronic_ISBN :
978-1-4244-2197-8
DOI :
10.1109/ISKE.2008.4731114
