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LIVER SEGMENTATION BASED ON GRAPH-BASED AND QUADTREE
Wei Qinlin 1,Fang Bin 2 *,Wang Yi 2
1.College of Computer Science, Chongqing University
2.College of Computer Science, Chongqing University, Chongqing 400030, China
*Correspondence author
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Funding: none
Opened online:13 September 2011
Accepted by: none
Citation: Wei Qinlin,Fang Bin,Wang Yi.LIVER SEGMENTATION BASED ON GRAPH-BASED AND QUADTREE[OL]. [13 September 2011] http://en.paper.edu.cn/en_releasepaper/content/4441763
 
 
In this paper, we present an algorithm based on Graph Theory for automatic liver segmentation of CT scans, combining with quad-tree. Firstly the isotropic nonlinear diffusion filter is used to filter the image data, and then the quad-tree algorithm is employed to segment the liver and the initial segmented regions are acquired. Finally we take these regions for the nodes of a graph, and segment the objects from the background by the theory of graph. Experimental results show the good performance of proposed algorithm.
Keywords:liver; Gauss filter; Graph-Based; segmentation; CT
 
 
 

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