Tumor Extraction Method of MRI Cerebral Image Based on Graph Cuts
Aiming at current feature extraction problems in medical image, a cerebral tumor extraction method based on graph-cuts is proposed. In order to overcome the defects that graph-cuts is only oriented to small image and easily lead to a small cut-set, a clustering is applied to image to improve the accuracy and speed of feature extraction and then build the Gomory-Hu cuts tree of image. Subgraph of clustering image can be got by removing the edges of Gomory-Hu cuts tree for the value of cuts, and the sub-image can be obtained after the subgraph is mapped to original image. This method is applied to tumor extraction of MRI cerebral image. Experimental result shows that the method can precisely extract tumor of cerebral image.
国家科技期刊平台
NSTL
万方数据
维普
