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An efficient Image segmentation approach based on graph theory

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成果类型:
期刊论文
作者:
Liu, Yongbo
通讯作者:
Liu, Yongbo(12141527@qq.com)
作者机构:
[Liu, Yongbo] Department of Management, Hunan City University, Yiyang, Hunan, 413000, China
通讯机构:
Department of Management, Hunan City University, Yiyang, Hunan, China
语种:
英文
关键词:
Background region;Euclidean distance;Foreground region;Graph theory;Image segmentation
期刊:
Journal of Applied Science and Engineering
ISSN:
1560-6686
年:
2018
卷:
21
期:
1
页码:
117-124
机构署名:
本校为第一且通讯机构
院系归属:
管理学院
摘要:
Image segmentation technology refers to a basic operation for image processing, and it can provide preparation works for high-level image analysis. The goal of this paper is to segment images with high accuracy and efficiency using the graph theory. In this paper, we propose an image segmentation algorithm based on graph cuts. We convert the image segmentation problem to a labeling problem, and we aim to allocate each pixel or block a label by deal with a graph optimization problem. The main idea of this paper lies in that we introduce some external information in the graph cut based image seg...

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