GRAPH-BASED IMAGE SEGMENTATION WITH BAG-OF-PIXELS

被引:0
|
作者
Chen, Zhi-Hua [1 ]
Xiao, Xiao-Long [1 ]
Liu, Yi [1 ]
Zhang, Jing [1 ,2 ]
Yuan, Yu-Bo [1 ]
机构
[1] E China Univ Sci & Technol, Dept Comp Sci & Engn, Shanghai 200237, Peoples R China
[2] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China
来源
PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4 | 2013年
关键词
Image Segmentation; Image Content; Graph-Based; Bag-of-Pixels;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image segmentation can help us with a better understanding of the image content, and thus plays an important role in many fields of image processing including image retrieval, object recognition and image compression. We propose a novel method based on an efficient Graph-Based segmentation after analyzing its irrationalities. The proposed method with bag-of-pixels is simple and effective. In the evaluation using a large public image database that contains a lot of natural images, our method outperforms the efficient graph-based segmentation method, yields better segmentation results and shortens the running time.
引用
收藏
页码:1548 / 1551
页数:4
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