An Image Segmentation Approach Based on Graph Theory and Optimal Threshold Model

被引：0
|
作者：
Guo, Xiangyun [1 ]
Zhang, Xiuhua [1 ]
Hong, Hanyu [1 ]
机构：
[1] Wuhan Inst Technol, Lab Image Proc & Intelligent Control, Wuhan 430074, Hubei, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
Graph Theory; Optimal Threshold; Segmentation; Regional properties; Boundary; Min-Cut/Max-Flow;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Since the threshold segmentation methods can't divide the interested objects from intricate background perfectly, in this paper, we proposed a new method that combined graph theory with optimal threshold method. With this method we have made a good integration of the two methods above to ensure that the segment results have smooth boundary and complete regions. Through a lot of experiments, we can draw the conclusion that the proposed method can extract the objects from intricate background perfectly and meet the need of applications.
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页数：4
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