Nonnegative Multiresolution Representation-Based Texture Image Classification
文献类型:期刊论文
作者 | Dong, Yongsheng1,2; Tao, Dacheng1![]() ![]() |
刊名 | acm transactions on intelligent systems and technology
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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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