Multiscale Graph-Cut for 3D Segmentation of Compact Objects

被引:1
|
作者
Jirik, Miroslav [1 ,2 ]
Lukes, Vladimir [2 ]
Zelezny, Milos [2 ]
Liska, Vaclav [3 ,4 ]
机构
[1] Charles Univ Prague, Fac Med Pilsen, Biomed Ctr, Plzen, Czech Republic
[2] NTIS New Technol Informat Soc, Fac Appl Sci, Plzen, Czech Republic
[3] Charles Univ Prague, Univ Hosp & Fac Med Pilsen, Biomed Ctr, Plzen, Czech Republic
[4] Charles Univ Prague, Univ Hosp & Fac Med Pilsen, Dept Surg, Plzen, Czech Republic
来源
关键词
Graph-Cut method; Multiscale; Medical imaging; Image segmentation; ENERGY MINIMIZATION;
D O I
10.1007/978-3-030-05288-1_18
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The article is a step forward towards improving image segmentation using a popular method called Graph-Cut. We focus on optimizing the algorithm for processing data, in which the target object occupies only a small portion of the total volume. We propose a two-step procedure. At the first step, the location of the object is determined roughly. At the second step, Graph-Cut segmentation is performed with a special multi-scale chart structure. Two different graph construction methods are suggested. The calculation time of both variants is compared with the original Graph-Cut method. The msgc_lo2hi method has been shown to provide a statistically significant time reduction of the computational costs.
引用
收藏
页码:227 / 236
页数:10
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