Texture Classification and Retrieval Using Shearlets and Linear Regression | |
Dong, Yongsheng1,2; Tao, Dacheng2![]() ![]() | |
2015-03-01 | |
发表期刊 | IEEE TRANSACTIONS ON CYBERNETICS
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卷号 | 45期号:3页码:358-369 |
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. |
文章类型 | Article |
关键词 | Contourlets Linear Regression Shearlets Subband Dependence Texture Classification Texture Retrieval |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1109/TCYB.2014.2326059 |
收录类别 | SCI ; EI |
关键词[WOS] | CONTOURLET TRANSFORM ; SEGMENTATION ; FEATURES ; MODEL ; REPRESENTATION ; RECOGNITION ; EXTRACTION ; IMAGES |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
WOS记录号 | WOS:000350146900001 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/24100 |
专题 | 光谱成像技术研究室 |
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. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Texture Classificati(3299KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 |
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