中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Directional EMD and its application to texture segmentation

文献类型:期刊论文

作者Liu, ZX; Peng, SL
刊名SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES
出版日期2005-06-01
卷号48期号:48页码:354-365
关键词empirical mode decomposition (EMD)directional EMDintrinsic mode function (IMF)multi-scaletexture segmentation
通讯作者Liu, ZX
英文摘要In this paper we present the definition and framework of Directional Empirical Mode Decomposition (DEMD) and use DEMD to do texture segmentation. As a new technique of time-frequency analysis, EMD decomposes signals by sifting and then analyzes the instantaneous frequency of the obtained components called Intrinsic Mode Functions (IMFs). Compared with Bidimensional EMD (BEMD) which only extracts textures by radial basis function interpolation, the virtues of DEMD include: the directional quality is considered in this framework; four features can be extracted for each point from the decomposition. The technique of selecting directions for DEMD based on texture’s Wold theory is also presented. Experimental results indicate the effectiveness of the method for texture segmentation. In addition, we show the explanation for the DEMD’s ability for texture classification from visual views.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]EMPIRICAL MODE DECOMPOSITION ; MULTIRESOLUTION SIGNAL DECOMPOSITION ; REPRESENTATION
收录类别SCI
语种英语
WOS记录号WOS:000230685800006
源URL[http://ir.ia.ac.cn/handle/173211/9084]  
专题自动化研究所_09年以前成果
推荐引用方式
GB/T 7714
Liu, ZX,Peng, SL. Directional EMD and its application to texture segmentation[J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,2005,48(48):354-365.
APA Liu, ZX,&Peng, SL.(2005).Directional EMD and its application to texture segmentation.SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES,48(48),354-365.
MLA Liu, ZX,et al."Directional EMD and its application to texture segmentation".SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES 48.48(2005):354-365.

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。