Combining powerful local and global statistics for texture description release_gj7wd74zffgulc6szjxcbtur4u

by Yong Xu, SiBin Huang, Hui Ji, Cornelia Fermuller

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Reorganizing local image features with chaotic maps: an application to texture recognition
Joao B. Florindo
2021   Multimedia tools and applications
doi:10.1007/s11042-021-10959-0 

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Fractal dimension of bag-of-visual words
Lucas Correia Ribas, Diogo Nunes Gonçalves, Jonathan de Andrade Silva, Amaury Antônio de Castro, Odemir Martinez Bruno, Wesley Nunes Gonçalves
2018   Pattern Analysis and Applications
doi:10.1007/s10044-018-0736-x 

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From BoW to CNN: Two Decades of Texture Representation for Texture Classification
Li Liu, Jie Chen, Paul Fieguth, Guoying Zhao, Rama Chellappa, Matti Pietikäinen
2018   International Journal of Computer Vision
doi:10.1007/s11263-018-1125-z 
web.archive.org [PDF]

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LBP-and-ScatNet-based combined features for efficient texture classification
Vu-Lam Nguyen, Ngoc-Son Vu, Hai-Hong Phan, Philippe-Henri Gosselin
2017   Multimedia tools and applications
doi:10.1007/s11042-017-4824-5 
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Three-dimensional multifractal analysis of trabecular bone under clinical computed tomography
Rodrigo Baravalle, Felix Thomsen, Claudio Delrieux, Yongtao Lu, Juan Carlos Gómez, Borko Stošić, Tatijana Stošić
2017   Medical Physics (Lancaster)
doi:10.1002/mp.12603  pmid:28972264 
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Locality-preserving descriptor for robust texture feature representation
Jongbin Ryu, Hyun S. Yang
2016   Neurocomputing
doi:10.1016/j.neucom.2016.07.010 

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Extreme learning machine with multi-scale local receptive fields for texture classification
Jinghong Huang, Zhu Liang Yu, Zhaoquan Cai, Zhenghui Gu, Zhiyin Cai, Wei Gao, Shengfeng Yu, Qianyun Du
2016   Multidimensional systems and signal processing
doi:10.1007/s11045-016-0414-3 

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Group object detection and tracking by combining RPCA and fractal analysis
Longxin Lin, Weiwei Lin, Sibin Huang
2016   Soft Computing - A Fusion of Foundations, Methodologies and Applications
doi:10.1007/s00500-016-2329-1 

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Directional regularity for visual quality estimation
Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet
2015   Signal Processing
doi:10.1016/j.sigpro.2014.08.048 

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A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval
Esther de Ves, Daniel Acevedo, Ana Ruedin, Xaro Benavent
2014   Pattern Recognition
doi:10.1016/j.patcog.2014.03.004 

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Fast and Accurate Texture Recognition with Multilayer Convolution and Multifractal Analysis [chapter]
Hicham Badri, Hussein Yahia, Khalid Daoudi
2014   Lecture Notes in Computer Science
doi:10.1007/978-3-319-10590-1_33 
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Texture Classification via Local Feature Representation of Multi-order Gradients [chapter]
Hengyang Wei, Qingjie Liu, Yunhong Wang, Chao Zhu, Di Huang
2013   Lecture Notes in Computer Science
doi:10.1007/978-3-319-03731-8_79 

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Scale invariant texture descriptors for classifying celiac disease
Sebastian Hegenbart, Andreas Uhl, Andreas Vécsei, Georg Wimmer
2013   Medical Image Analysis
doi:10.1016/j.media.2013.02.001  pmcid:PMC4268896  pmid:23481171 
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Texture databases – A comprehensive survey
Shahera Hossain, Seiichi Serikawa
2013   Pattern Recognition Letters
doi:10.1016/j.patrec.2013.02.009 

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Automated Method of Analysing Sputum Smear Tuberculosis Images Using Multifractal Approach [chapter]
Ebenezer Priya, Srinivasan Subramanian
Biomedical Signal and Image Processing in Patient Care
doi:10.4018/978-1-5225-2829-6.ch010