Object-based and semantic image segmentation using MRF

	Object-based and semantic image segmentation using MRF
	Li, F ; Peng, JX ; Zheng, XJ
	2004-06-01
发表期刊	EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
ISSN	1110-8657
卷号	2004 期号:6 页码:833-840
摘要	The problem that the Markov random field (MRF) model captures the structural as well as the stochastic textures for remote sensing image segmentation is considered. As the one-point clique, namely, the external field, reflects the priori knowledge of the relative likelihood of the different region types which is often unknown, one would like to consider only two-pairwise clique in the texture. To this end, the MRF model cannot satisfactorily capture the structural component of the texture. In order to capture the structural texture, in this paper, a reference image is used as the external field. This reference image is obtained by Wold model decomposition which produces a purely random texture image and structural texture image from the original image. The structural component depicts the periodicity and directionality characteristics of the texture, while the former describes the stochastic. Furthermore, in order to achieve a good result of segmentation, such as improving smoothness of the texture edge, the proportion between the external and internal fields should be estimated by regarding it as a parameter of the MRF model. Due to periodicity of the structural texture, a useful by-product is that some long-range interaction is also taken into account. In addition, in order to reduce computation, a modified version of parameter estimation method is presented. Experimental results on remote sensing image demonstrating the performance of the algorithm are presented.
关键词	semantic and structural segmentation MRF Wold model remote sensing image
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000223382900005
出版者	HINDAWI PUBLISHING CORPORATION
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/9811
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, F
作者单位	1.Chinese Acad Sci, Comp Technol Inst, Shanghai Div, Shanghai Zhongke Mobile Commun Res Ctr, Shanghai 201203, Peoples R China 2.Huazhong Univ Sci & Technol, State Educ Commiss Lab Image Proc & Intelligence, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Peoples R China
推荐引用方式 GB/T 7714	Li, F,Peng, JX,Zheng, XJ. Object-based and semantic image segmentation using MRF[J]. EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2004,2004(6):833-840.
APA	Li, F,Peng, JX,&Zheng, XJ.(2004).Object-based and semantic image segmentation using MRF.EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING,2004(6),833-840.
MLA	Li, F,et al."Object-based and semantic image segmentation using MRF".EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING 2004.6(2004):833-840.