中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Nonnegative Multiresolution Representation-Based Texture Image Classification

文献类型:期刊论文

作者Dong, Yongsheng1,2; Tao, Dacheng1; Li, Xuelong1
刊名acm transactions on intelligent systems and technology
出版日期2015-10-01
卷号7期号:1
关键词Theory Experimentation Nonnegative matrix factorization texture classification histogram manifold regularization Hessian regularization
英文摘要effective representation of image texture is important for an image-classification task. statistical modelling in wavelet domains has been widely used to image texture representation. however, due to the intraclass complexity and interclass diversity of textures, it is hard to use a predefined probability distribution function to fit adaptively all wavelet subband coefficients of different textures. in this article, we propose a novel modelling approach, heterogeneous and incrementally generated histogram (high), to indirectly model the wavelet coefficients by use of four local features in wavelet subbands. by concatenating all the highs in all wavelet subbands of a texture, we can construct a nonnegative multiresolution vector (nmv) to represent a texture image. considering the nmv's high dimensionality and nonnegativity, we further propose a hessian regularized discriminative nonnegative matrix factorization to compute a low-dimensional basis of the linear subspace of nmvs. finally, we present a texture classification approach by projecting nmvs on the low-dimensional basis. experimental results show that our proposed texture classification method outperforms seven representative approaches.
WOS标题词science & technology ; technology
类目[WOS]computer science, artificial intelligence ; computer science, information systems
研究领域[WOS]computer science
关键词[WOS]generalized gaussian density ; local binary patterns ; matrix factorization ; feature-extraction ; model ; recognition ; retrieval ; features ; transform ; subspace
收录类别SCI ; EI
语种英语
WOS记录号WOS:000363900100004
源URL[http://ir.opt.ac.cn/handle/181661/25540]  
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.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China
2.Henan Univ Sci & Technol, Informat Engn Coll, Luoyang 471023, Henan, Peoples R China
推荐引用方式
GB/T 7714
Dong, Yongsheng,Tao, Dacheng,Li, Xuelong. Nonnegative Multiresolution Representation-Based Texture Image Classification[J]. acm transactions on intelligent systems and technology,2015,7(1).
APA Dong, Yongsheng,Tao, Dacheng,&Li, Xuelong.(2015).Nonnegative Multiresolution Representation-Based Texture Image Classification.acm transactions on intelligent systems and technology,7(1).
MLA Dong, Yongsheng,et al."Nonnegative Multiresolution Representation-Based Texture Image Classification".acm transactions on intelligent systems and technology 7.1(2015).

入库方式: OAI收割

来源:西安光学精密机械研究所

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