Texture Classification and Retrieval Using Shearlets and Linear Regression
文献类型:期刊论文
作者 | Dong, Yongsheng1,2; Tao, Dacheng2![]() ![]() |
刊名 | ieee transactions on cybernetics
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出版日期 | 2015-03-01 |
卷号 | 45期号:3页码:358-369 |
关键词 | Contourlets linear regression shearlets subband dependence texture classification texture retrieval |
英文摘要 | statistical modeling of wavelet subbands has frequently been used for image recognition and retrieval. however, traditional wavelets are unsuitable for use with images containing distributed discontinuities, such as edges. shearlets are a newly developed extension of wavelets that are better suited to image characterization. here, we propose novel texture classification and retrieval methods that model adjacent shearlet subband dependences using linear regression. for texture classification, we use two energy features to represent each shearlet subband in order to overcome the limitation that subband coefficients are complex numbers. linear regression is used to model the features of adjacent subbands; the regression residuals are then used to define the distance from a test texture to a texture class. texture retrieval consists of two processes: the first is based on statistics in contourlet domains, while the second is performed using a pseudo-feedback mechanism based on linear regression modeling of shearlet subband dependences. comprehensive validation experiments performed on five large texture datasets reveal that the proposed classification and retrieval methods outperform the current state-of-the-art. |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
研究领域[WOS] | computer science |
关键词[WOS] | contourlet transform ; segmentation ; features ; model ; representation ; recognition ; extraction ; images |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000350146900001 |
公开日期 | 2015-07-28 |
源URL | [http://ir.opt.ac.cn/handle/181661/24100] ![]() |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Henan Univ Sci & Technol, Informat Engn Coll, Luoyang 471023, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OpT IMagery Anal & Learning, Xian 710119, Peoples R China 3.Peking Univ, Sch Math Sci, Dept Informat Sci, Beijing 100871, Peoples R China 4.Peking Univ, LMAM, Beijing 100871, Peoples R China |
推荐引用方式 GB/T 7714 | Dong, Yongsheng,Tao, Dacheng,Li, Xuelong,et al. Texture Classification and Retrieval Using Shearlets and Linear Regression[J]. ieee transactions on cybernetics,2015,45(3):358-369. |
APA | Dong, Yongsheng,Tao, Dacheng,Li, Xuelong,Ma, Jinwen,&Pu, Jiexin.(2015).Texture Classification and Retrieval Using Shearlets and Linear Regression.ieee transactions on cybernetics,45(3),358-369. |
MLA | Dong, Yongsheng,et al."Texture Classification and Retrieval Using Shearlets and Linear Regression".ieee transactions on cybernetics 45.3(2015):358-369. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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