Abstract：Local binary patterns have been widely used in texture images classification.However,conventional LBP methods focus on the distribution of LBP values and ignore the spatial contextual information between LBP patterns.In this paper,a texture images classification method based on two-dimensional Local Binary Pattern (2DLBP) is proposed.The proposed method introduces a sliding window to count the weighted occurrence number of LBP pairs on the feature map of rotation invariant uniform LBP.The radius of LBP is also changed to obtain the multi-resolution 2DLBP features.At last,texture images are classified using the methods of the support vector machine (SVM).Theoretical validation shows that the proposed method is a generalized framework,and can be integrated with other LBP variants to derive a new feature extraction method.Experimental results show that,compared with the conventional LBP,the variants of LBP,and some state of the art texture classification methods,the proposed method achieves acceptable performance in texture images classification.
[1] 张立和,朱莉莉.结合Gabor纹理特征的局部化多通道水平集分割方法[J].电子学报,2011,39(7):1569-1574. ZHANG Li-he,ZHU Li-li.Localized multi-channel level set segmentation combined with gabor texture feature[J].Acta Electronica Sinica,2011,39(7):1569-1574.(in Chinese)
[2] 薄华,马缚龙.图像纹理的灰度共生矩阵计算问题的分析[J].电子学报,2006,34(1):155-158. BO Hua,MA Fu-long.Research on computation of GLCM of image texture[J].Acta Electronica Sinica,2006,34(1):155-158.(in Chinese)
[3] 盛文,杨江平.一种基于纹理元灰度模式统计的图像纹理分析方法[J].电子学报,2000,28(4):73-75. SHENG Wen,YANG Jiang-ping.A new texture analysis approach based on statistics of texture primitive's gray pattern[J].Acta Electronica Sinica,2000,28(4):73-75.(in Chinese)
[4] Asatryan D G, Kurkchiyan V V.Method for texture classification using image structural features[J].Computer Optics,2014,38(3):574-579.
[5] Jan S R,Hsueh Y C.Window-size determination for granulometrical structural texture classification[J].Pattern Recognition Letters,1998,19(5-6):439-446.
[6] 贾建华,焦李成.一种基于质心不变特性的放射不变纹理特征提取算法[J].电子学报,2008,36(10):1910-1915. JIA Jian-hua,JIAO Li-cheng.Affine invariant texture extraction based on invariant centroid[J].Acta Electronica Sinica,2008,36(10):1910-1915.(in Chinese)
[7] Dharmagunawardhana C,Mahmoodi S.Rotation invariant texture descriptors based on Gaussian Markov random fields for classification[J].Pattern Recognition Letters,2016,69:15-21.
[8] CimpoiM,Maji S.Deep filter banks for texture recognition and segmentation[J].International Journal of Computer Vision,2015,118(1):3828-3836.
[9] RandenT,Husoy J H.Filtering for texture classification:A comparative study[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,1999,21(4):291-310.
[10] CHANT H,JIA K.PCANet:A simple deep learning baseline for image classification?[J].IEEE Transactions on Image Processing A,Publication of the signal Processing Society,2015,24(12):5017-5032.
[11] Gatys L A,Ecker A S.Texture synthesis using convolutional neural networks[A].InAdvances in Neural Information Processing Systems (NIPS)[C].USA:ACM Press,2015.262-270.
[12] Ojala T,Harwood I.A comparative study of texture measures with classification based on feature distributions[J].Pattern Recognition,1996,29(1):51-59.
[13] Ojaja T,Pietikainen M.Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987.
[14] 刘丽,谢毓湘.局部二进制模式方法综述[J].中国图像图形学报,2014,19(12):1696-1720. LIU Li,XIE Shu-xaing.Survey of local binary pattern method[J].Journal of Image and Graphics,2014,19(12):1696-1720.(in Chinese)
[15] GUO Zhen-hua,ZHANG Lei.A completed modeling of local binary pattern operator for texture classification[J].IEEE Transactions on Image Processing,2010,19(6):1657-1663.
[16] QI Xian-biao,XIAO Rong.Pairwise rotation invariant co-occurrence local binary pattern[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2014,36(11):2199.
[17] GUO Zhen-hua,WANG Xing-zheng.Robust texture image representation by scale selective local binary patterns[J].IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,2015,25(2):687.
[18] ZHANG Z,LIU S,et al.Learning completed discriminative local features for texture classification[J].Pattern Recognition,2017,67:263-275.
[19] ZHAO Yang,WANG Rong-Gang,et al.Localquantization code histogram for texture classification[J].Neurocomputing,2016,207:354-364.
[20] Ahonen T,Matas J,et al.Rotation invariant image description with local binary pattern histogram Fourier features[A].Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA)[C].Norway:Springer Verlag,2009.61-70.
[21] LAN Ru-shi,ZHOU Yi-cong,TANG Yuan-yan.Quaternionic local ranking binary pattern:A local descriptor of color images[J].IEEE Transactions on Image Processing,2016,25(2):566-579.
[22] Vedaldi A,Fulkerson B.Vlfeat:An open and portable library of computer vision algorithms[A].Proceedings of the 18th ACM International Conference on Multimedia ACM Multimedia[C].Italy:ACM Press,2010.1469-1472.
2018, Vol. 46 
