2Ojala T, Pietikainen M, Harwood D. A comparative study of texture measures with classification based on featured distributions. Pattern Recognition, 1996, 29(1): 51-59. 被引量：1
3Pietik/iinen M, Ojala T, Xu Z. Rotation-invariant texture classification using feature distributions. Pattern Recogni- tion, 2000, 33(1): 43-52. 被引量：1
4Ojala T, Valkealahti K, Oja E, Pietikginen M. Texture dis- crimination with multidimensional distributions of signed gray-level differences. Pattern Recognition, 2001, 34(3): 727-739. 被引量：1
5Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray- scale and rotation invariant texture classification with local binary patterns. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987. 被引量：1
6Pietikainen M, Hadid A, Zhao G Y, Ahonen T. Com- puter Vision Using Local Binary Patterns. Berlin: Springer- Verlag, 2011. 193-202. 被引量：1
7Hafiane A, Seetharaman G, Zavidovique B. Median bi- nary pattern for textures classification. In: Proceedings of the 2007.International Conference on Image Analysis and Recognition. Montreal, Canada: Springer, 2007. 387-398. 被引量：1
8Guo Z H, Zhang L, Zhang D, Zhang S. Rotation invariant texture classification using adaptive LBP with directional statistical features. In: Proceedings of the 17th IEEE In- ternational Conference on Image Processing. Hong Kong, China: IEEE, 2010. 285-288. 被引量：1
9Varma M, Zisserman A. A statistical approach to material classification using image patch exemplars. IEEE Transac- tions on Pattern Analysis and Machine Intelligence, 2009, 31(11): 2032-2047. 被引量：1
10Guo Z H, Zhang L, Zhang D. A completed modeling of lo- cal binary pattern operator for texture classification. IEEE Yansactions on Image Processing, 2010, 19(6): 1657-1663. 被引量：1
