GRAPH CUT SEGMENTATION METHOD AND ITS APPLICATION IN MEDICAL IMAGES

被引：0
|
作者：
Norouzi, Alireza [1 ]
Amin, Ismail Mat [1 ]
Rahim, Mohd Shafry Mohd [1 ,2 ]
Rad, Abdolvahab Ehsani [1 ]
机构：
[1] Univ Teknol Malaysia, Fac Comp, UTM ViCubeLab, Johor Baharu, Malaysia
[2] Univ Teknol Malaysia, UTM IRDA Digital Media Ctr, MaGIC X, Johor Baharu, Malaysia
来源：
JURNAL TEKNOLOGI | 2015年 / 75卷 / 04期
关键词：
Graph cut; segmentation; image processing;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Graph cut is an interactive segmentation method. It works based on preparing graph from image and finds the minimum cut for the graph. The edges value is calculated based on belonging a pixel to object or background. The advantage of this method is using the cost function. If the cost function is clearly described, graph cut is presents a generally optimum result. In this paper graph concepts and preparing graph according to image pixels is described. Preparing different edges and performing min cut/max flow is explained. Finally, the method is applied on some medical images.
引用
收藏
页码：13 / 16
页数：4
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