Interactive Natural Image Segmentation via Spline Regression

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 先进时空数据分析与学习

	Interactive Natural Image Segmentation via Spline Regression
	Xiang, Shiming1 ; Nie, Feiping 2; Zhang, Chunxia 3; Zhang, Changshui 2
发表期刊	IEEE TRANSACTIONS ON IMAGE PROCESSING
	2009-07-01
卷号	18 期号:7 页码:1623-1632
文章类型	Article
摘要	This paper presents an interactive algorithm for segmentation of natural images. The task is formulated as a problem of spline regression, in which the spline is derived in Sobolev space and has a form of a combination of linear and Green's functions. Besides its nonlinear representation capability, one advantage of this spline in usage is that, once it has been constructed, no parameters need to be tuned to data. We define this spline on the user specified foreground and background pixels, and solve its parameters (the combination coefficients of functions) from a group of linear equations. To speed up spline construction, K-means clustering algorithm is employed to cluster the user specified pixels. By taking the cluster centers as representatives, this spline can be easily constructed. The foreground object is finally cut out from its background via spline interpolation. The computational complexity of the proposed algorithm is linear in the number of the pixels to be segmented. Experiments on diverse natural images, with comparison to existing algorithms, illustrate the validity of our method.
关键词	Interactive Natural Image Segmentation K-means Clustering Spline Regression
WOS标题词	Science & Technology ; Technology
收录类别	SCI
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号	WOS:000267221900020
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3690
专题	多模态人工智能系统全国重点实验室_先进时空数据分析与学习
作者单位	1.Chinese Acad Sci, NLPR, Inst Automat, Beijing 100190, Peoples R China 2.Tsinghua Univ, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol, Dept Automat, Beijing 100084, Peoples R China 3.Beijing Inst Technol, Sch Software, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
第一作者单位	模式识别国家重点实验室
推荐引用方式 GB/T 7714	Xiang, Shiming,Nie, Feiping,Zhang, Chunxia,et al. Interactive Natural Image Segmentation via Spline Regression[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2009,18(7):1623-1632.
APA	Xiang, Shiming,Nie, Feiping,Zhang, Chunxia,&Zhang, Changshui.(2009).Interactive Natural Image Segmentation via Spline Regression.IEEE TRANSACTIONS ON IMAGE PROCESSING,18(7),1623-1632.
MLA	Xiang, Shiming,et al."Interactive Natural Image Segmentation via Spline Regression".IEEE TRANSACTIONS ON IMAGE PROCESSING 18.7(2009):1623-1632.