Local Concave-and-Convex Micro-Structure Patterns for texture classification

Manjunath, 1996, Texture features for browsing and retrieval of image data, IEEE Trans. Pattern Anal. Mach. Intell., 18, 837, 10.1109/34.531803 Davis, 1981, Polarograms: a new tool for image texture analysis, Pattern Recognit., 13, 219, 10.1016/0031-3203(81)90098-4 Ojala, 2002, Multiresolution gray-scale and rotation invariant texture classification with local binary patterns, IEEE Trans. Pattern Anal. Mach. Intell., 24, 971, 10.1109/TPAMI.2002.1017623 Duvernoy, 1984, Optical digital processing of directional terrain textures invariant under translation, rotation, and change of scale, Appl. Opt., 23, 828, 10.1364/AO.23.000828 Goyal, 1995, Scale and rotation invariant texture analysis based on structural property, 1-2, 1290 Alata, 1998, Classification of rotated and scaled textures using HMHV spectrum estimation and the fourier mellin transform, vol. 1, 53 Cohen, 1991, Classification of rotated and scaled textured images using gaussian markov random field models, IEEE Trans. Pattern Anal. Mach. Intell, 13, 192, 10.1109/34.67648 Chen, 1992, Rotation and grayscale transform invariant texture recognition using hidden markov model, 1 Porter, 1997, Robust rotation invariant texture classification 1997, 3157 Liu, 2012, Texture classification from random features, IEEE Trans. Pattern Anal. Mach. Intell., 34, 574, 10.1109/TPAMI.2011.145 Bianconi, 2009, Robust color texture features based on ranklets and discrete fourier transform, J. Electron. Imaging, 18 Tamura, 1978, Textural features corresponding to visual perception, IEEE Trans. Syst. Man Cybernet., 8, 460, 10.1109/TSMC.1978.4309999 Varma, 2003, Texture classification: are filter banks necessary?, 691 Varma, 2005, A statistical approach to texture classification from single images, J. Comput. Vis., 62, 61, 10.1007/s11263-005-4635-4 Varma, 2009, A statistical approach to material classification using image patch exemplars, IEEE Trans. Pattern Anal. Mach. Intell., 31, 2032, 10.1109/TPAMI.2008.182 Xu, 2006, A projective invariant for texture, 1932 Xu, 2009, View point invariant texture description using fractal analysis, Int .J. Comput. Vis., 83, 85, 10.1007/s11263-009-0220-6 Xu, 2010, A new texure descriptor using multifractal analysis in multi-orientation wavelet pyramid, 161 Fernández, 2013, Texture description through histograms of equivalent patterns, J. Math. Imaging Vis., 45, 76, 10.1007/s10851-012-0349-8 Yilmaz, 2015, Two novel local binary pattern descriptors for texture analysis, Appl. Soft Comput., 34, 728, 10.1016/j.asoc.2015.06.009 Dalal, 2005, Histograms of oriented gradients for human detection., Comput. Vis. Pattern Recognit Zhang, 2010, Local derivative pattern versus local binary pattern: Face recognition with high-order local pattern descriptor, IEEE Trans. Image Process., 19, 533, 10.1109/TIP.2009.2035882 Maani, 2013, Rotation invariant local frequency descriptors for texture classification, IEEE Trans. Image Process., 22, 2409, 10.1109/TIP.2013.2249081 Maani, 2013, Noise robust rotation invariant features for texture classification, Pattern Recognit., 46, 2103, 10.1016/j.patcog.2013.01.014 Liu, 2015, Median robust extended local binary pattern for texture classification, 2319 Verma, 2017, Local neighborhood difference pattern: a new feature descriptor for natural and texture image retrieval, Multimed. Tools Appl., 1 Chakraborty, 2017, Local quadruple pattern: a novel descriptor for facial image recognition and retrieval, Comput. Electr. Eng., 10.1016/j.compeleceng.2017.06.013 Chang, 2004, Gradient texture unit coding for texture analysis, Opt. Eng., 43, 1891, 10.1117/1.1768183 Keramidas, 2011, Fuzzy binary patterns for uncertainty-aware texture representation, ELCVIA, 10, 63, 10.5565/rev/elcvia.408 Fernández, 2011, Image classification with binary gradient contours, Opt. Lasers Eng., 49, 1177, 10.1016/j.optlaseng.2011.05.003 Fu, 2008, Centralized binary patterns embedded with image euclidean distance for facial expression recognition, 4, 115 Hafiane, 2007, Median binary pattern for textures classification, 4633, 387 Haralick, 1973, Textural features for image classification, IEEE Trans. Syst. Man Cybern., 3, 610, 10.1109/TSMC.1973.4309314 He, 1990, Texture unit, texture spectrum, and texture analysis, IEEE Trans. Geosci. Remote Sens., 28, 509, 10.1109/TGRS.1990.572934 He, 1992, Unsupervised textural classification of images using the texture spectrum, Pattern Recognit., 25, 247, 10.1016/0031-3203(92)90108-U He, 2011, Robust illumination invariant texture classification using gradient local binary patterns, 1 Heikkil, 2006, Description of interest regions with center-symmetric local binary patterns, vol. 4338, 58 Hepplewhite, 1996, Texture classification using n-tuple pattern recognition, volume 4, 159 Huang, 2006, Combining statistics of geometrical and correlative features for 3d face recognition, 879 Jin, 2004, Face detection using improved LBP under bayesian framework, 306 Kung, 1995, Decision-based neural networks with signal/image classification applications, IEEE Trans. Neural Netw., 6, 170, 10.1109/72.363439 Madrid-Cuevas, 2003, Simplified texture unit: a new descriptor of the local texture in gray-level images, vol. 2652, 470 Nanni, 2010, Local binary patterns variants as texture descriptors for medical image analysis, Artif. Intell. Med., 49, 117, 10.1016/j.artmed.2010.02.006 Nanni, 2010, A local approach based on a local binary patterns variant texture descriptor for classifying pain states, Expert Syst. Appl., 37, 7888, 10.1016/j.eswa.2010.04.048 Ojala, 1996, A comparative study of texture measures with classification based on feature distributions, Pattern Recognit., 29, 51, 10.1016/0031-3203(95)00067-4 Y.Tan, 2010, Enhanced local texture feature sets for face recognition under difficult lighting conditions, IEEE Trans. Image Process., 19, 1635, 10.1109/TIP.2010.2042645 Unser, 1986, Sum and difference histograms for texture classification, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-8(1), 118, 10.1109/TPAMI.1986.4767760 Weszka, 1976, A comparative study of texture measures for terrain classification, IEEE Trans. Syst. Man Cybern., 6, 269, 10.1109/TSMC.1976.5408777 Xiaosheng, 2009, An effective texture spectrum descriptor, vol. 2, 361 Xu, 2003, Comparison of gray-level reduction and different texture spectrum encoding methods for land-use classification using a panchromatic ikonos image, Photogramm. Eng. Remote Sens., 69, 529, 10.14358/PERS.69.5.529 Zabih, 1994, Non-parametric local transforms for computing visual correspondence, 151 Zeng, 2011, A robust method for local image feature region description, Acta Autom. Sinica, 37, 658 Y. Zhao, R.-G. Wang, W.-M. Wang, W. Gao, Local quantization code histogram for texture classification, Neurocomputing10.1016/j.neucom.2016.05.016. Ouslimani, 2016, Directional rank coding for multi-scale texture classification Mehta, 2016, Dominant rotated local binary patterns (DRLBP) for texture classification, Pattern Recognit. Lett., 71, 16, 10.1016/j.patrec.2015.11.019 Zeng, 2016, Binary pattern and its application in mean-shift tracking, Neurocomputing Song, 2015, evaluation of local binary pattern for texture classification, J. Vis. Commun. Image Represent., 33, 323, 10.1016/j.jvcir.2015.09.016 Vipparthi, 2015, Local Gabor maximum edge position octal patterns for image retrieval, Neurocomputing, 167, 336, 10.1016/j.neucom.2015.04.062 Kaya, 2015, Two novel local binary pattern descriptors for texture analysis, Appl. Soft Comput., 34, 728, 10.1016/j.asoc.2015.06.009 Silva, 2015, An extended center-symmetric local binary pattern for background modeling and subtraction in videos Hong, 2014, Combining LBP difference and feature correlation for texture description, IEEE Trans. Image Process., 23, 2557, 10.1109/TIP.2014.2316640 Ylioinas, 2012, Efficient image appearance description using dense sampling based local binary patterns, 375 Guo, 2010, Rotation invariant texture classification using adaptive LBP with directional statistical features (IEEE Piscataway)2010, 285 Fathi, 2012, Noise tolerant local binary pattern operator for efficient texture analysis, Pattern Recognit. Lett., 33, 1093, 10.1016/j.patrec.2012.01.017 Ahonen, 2009, invariant image description with local binary pattern histogram fourier features, 61 Subrahmanyam, 2012, Local maximum edge binary patterns: a new descriptor for image retrieval and object tracking, Signal Process., 92, 1467, 10.1016/j.sigpro.2011.12.005 Guo, 2010, Rotation invariant texture classification using LBP variance (LBPV) with global matching, Pattern Recognit., 43, 706, 10.1016/j.patcog.2009.08.017 Guo, 2010, A completed modeling of local binary pattern operator for texture classification, IEEE Trans. Image Process., 19, 1657, 10.1109/TIP.2010.2044957 Patel, 1991, A single layer neural network for texture discrimination, vol. 5, 2656 Kurmyshev, 1996, A quasi-statistical approach to digital binary image representation, Rev. Mex. Fis., 42, 104 F. Bianconi, R. Harvey, P. Southam, F. Andez, A. Theoretical and experimental comparison of different approaches for color texture classification. J. Electron. Imaging 20 (4) 006 (2011), doi:10.1117/1.3651210. Varma, 2009, A statistical approach to material classification using image patch exemplars, IEEE Trans. Pattern Anal. Mach. Intell., 31, 2032, 10.1109/TPAMI.2008.182 Xu, 2012, Scale-space texture description on SIFT-like textons, Comput. Vis. Image Understand., 116, 999, 10.1016/j.cviu.2012.05.003 Liu, 2012, Extended local binary patterns for texture classification, Image Vis. Comput., 30, 86, 10.1016/j.imavis.2012.01.001 Abdullah, 2014, Face recognition with symmetric local graph structure (slgs), Expert Syst. Appl., 41, 6131, 10.1016/j.eswa.2014.04.006 Sayeed, 2013, Plant identification based on leaf shape and texture pattern using local graph structure (LGS), Aus. J. Basic Appl. Sci., 7, 29 Garcıa–Olalla, 2014, Local oriented statistics information booster (LOSIB) for texture classification, 1114 Ojansivu, 2008, Blur insensitive texture classification using local phase quantization, vol. 5099, 236 Zhao, 2012, Completed local binary count for rotation invariant texture classification, IEEE Trans. Image Process., 21, 4492, 10.1109/TIP.2012.2204271 Liao, 2009, Dominant local binary patterns for texture classification, IEEE Trans. Image Process., 18, 1107, 10.1109/TIP.2009.2015682 Khellah, 2011, Texture classification using dominant neighborhood structure, IEEE Trans. Image Process., 20, 3270, 10.1109/TIP.2011.2143422 Guo, 2012, Discriminative features for texture description, Pattern Recognit., 45, 3834, 10.1016/j.patcog.2012.04.003 Varma, 2009, A statistical approach to material classification using image patches, IEEE Trans. Pattern Anal. Mach. Intell., 31, 2032, 10.1109/TPAMI.2008.182 Ahonen, 2007, M. Soft histograms for local binary patterns, 1 Crosier, 2010, Using basic image features for texture classification, Int. J. Comput. Vis., 88, 447, 10.1007/s11263-009-0315-0 2015, National Institute on Ageing. 2D HeLa dataset. Available online at http://ome.grc.nia.nih.gov/iicbu2008/hela/index.html. Last accessed on March 18. Bianconi, 2015, Dominant local binary patterns for texture classification: Labelled or unlabelled?, Pattern Recognit. Lett., 65, 8, 10.1016/j.patrec.2015.06.025 Montgomery, 1999 Bashier, 2016, Texture classification via extended local graph structure, Optik, 127, 638, 10.1016/j.ijleo.2015.10.096 Vipparthi, 2015, Local extreme complete trio pattern for multimedia image retrieval system, Int. J. Autom. Comput. Huang, 2011, Local binary patterns and its application to facial image analysis: a survey, IEEE Trans. Syst. Man Cybern.. Part C, 41, 765, 10.1109/TSMCC.2011.2118750 Doshi, 2012, A comprehensive benchmark of local binary pattern algorithms for texture retrieval, 2760 Hadid, 2015, Gender and texture classification: a comparative analysis using 13 variants of local binary patterns, Pattern Recognit. Lett., 68, 231, 10.1016/j.patrec.2015.04.017 Nanni, 2012, Survey on LBP based texture descriptors for image classification, Expert Syst. Appl., 39, 3634, 10.1016/j.eswa.2011.09.054 Liu, 2017, Local binary features for texture classification: taxonomy and experimental study, Pattern Recognit., 62, 135, 10.1016/j.patcog.2016.08.032 Zeng, 2016, Center symmetric local multilevel pattern based descriptor and its application in image matching, Int. J. Opt., 10.1155/2016/1584514 Kylberg, 2013, Evaluation of noise robustness for local binary pattern descriptors in texture classification, EURASIP J. Image Video Process., 1, 1