Research on Color Image Segmentation

被引：0
|
作者：
Yan, Jingwen [1 ,3 ]
Chen, Xiaopeng [1 ,3 ]
Xie, Tingting [1 ,3 ]
Zhao, Huimin [2 ,3 ]
机构：
[1] Shantou Univ, Dept Elect Engn, Shantou, Guangdong, Peoples R China
[2] Guangdong Polytech Normal Univ, Sch Elect & Informat, Guangzhou, Peoples R China
[3] Key Lab Digital Content Proc & Secur Technol Guan, Guangzhou, Guangdong, Peoples R China
来源：
IMAGE AND GRAPHICS (ICIG 2017), PT III | 2017年 / 10668卷
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
Image segmentation; Mean shift; Ncut algorithm;
D O I：
10.1007/978-3-319-71598-8_3
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The traditional Ncut algorithm has the disadvantages of large amount of computation and insufficient ability of resisting noise interference because it needs to solve the eigenvector and eigenmatrix. In order to solve this problem, a color image segmentation algorithm based on the improved Ncut algorithm is proposed in this paper. Firstly, we apply the Mean Shift for pre-segmentation, and then the pixel blocks produced from pre-segmentation replace the raw image pixel blocks to form a new block diagram. Next, Ncut algorithm is employed to final segmentation. We implemented several experiments and the experimental results show that the improved Ncut algorithm can not only improve the efficiency of the segmentation, but also has excellent ability to resist noise interference.
引用
收藏
页码：27 / 35
页数：9
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