Abstract
It is well-known that local binary pattern (LBP) histograms of real textures exhibit a markedly uneven distribution, which is dominated by the so-called uniform patterns. The widely accepted interpretation of this phenomenon is that uniform patterns correspond to texture microfeatures, such as edges, corners, and spots. In this paper we present a theoretical study about the relative occurrence of LBPs based on the consideration that the LBP operator partitions the set of grayscale patterns into an ensemble of disjoint multidimensional polytopes. We derive exact prior probabilities of LBPs by calculating the volume of such polytopes. Our study puts in evidence that both the uneven distribution of the LBP histogram and the high occurrence of uniform patterns are direct consequences of the mathematical structure of the method rather than an intrinsic property of real textures.
This is a preview of subscription content, access via your institution.
References
Ahonen, T., Hadid, A., Pietikäinen, M.: Face description with local binary patterns: Application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28, 2037–2041 (2006)
Ash, R.B.: Information Theory. Dover, New York (1965)
Avis, D., Fukuda, K.: A pivoting algorithm for convex hulls and vertex enumeration of arrangements and polyhedra. Discrete Comput. Geom. 8, 295–313 (1992)
Barvinok, A.I.: Polynomial time algorithm for counting integral points in polyhedra when the dimension is fixed. Math. Oper. Res. 19, 769–779 (1994)
Beck, M., Robins, S.: Computing the Continuous Discretely. Integer-Point Enumeration in Polyhedra. Springer, Berlin (2007)
Bovik, A.C.: Handbook of Image and Video Processing, 2nd edn., p. 432. Elsevier, Amsterdam (2005)
Clauss, P., Loechner, V.: Parametric analysis of polyhedral iteration spaces. J. VLSI Signal Process. 19, 179–194 (1998)
Diaz, R., Robins, S.: The Ehrhart plynomial of a lattice polytope. Ann. Math. 145, 503–518 (1997)
Fernández, A., Ghita, O., González, E., Bianconi, F., Whelan, P.F.: Evaluation of robustness against rotation of LBP, CCR and ILBP features in granite texture classification. Mach. Vis. Appl. (2010). doi:10.1007/s00138-010-0253-4
Gawrilow, E., Joswig, M.: Polymake: a framework for analyzing convex polytopes. In: Kalai, G., Ziegler, G.M. (eds.) Polytopes—Combinatorics and Computation, pp. 43–74. Birkhäuser, Basel (2000)
Guoxing, J., Yanfang, C.: An LBP-based multi-scale illumination preprocessing method for face recognition. J. Electron. 26, 509–516 (2009)
He, S., Soraghan, J.J., OReilly, B.F., Xing, D.: Quantitative analysis of facial paralysis using local binary patterns in biomedical videos. IEEE Trans. Biomed. Eng. 56, 2009 (1864–1870)
Heikkilä, M., Pietikäinen, M.: A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 28, 657–662 (2006)
Jin, H., Liu, Q., Tong, X.: Face detection using improved LBP under Bayesian framework. In: Proceedings of the 3rd International Conference on Image and Graphics, pp. 306–309 (2004)
Liao, S., Law, M.W.K., Chung, A.C.S.: Dominant Local Binary Patterns for texture classification. IEEE Trans. Image Process. 18, 1107–1118 (2009)
De Loera, J.A.: The many aspects of counting lattice points in polytopes. Math. Semesterber. 52, 175–195 (2005)
De Loera, J.A., Hemmeckeb, R., Tauzera, J., Yoshida, R.: Effective lattice point counting in rational convex polytopes. J. Symb. Comput. 38, 1273–1302 (2004)
Lucieer, A., Stein, A., Fisher, P.: Multivariate texture-based segmentation of remotely sensed imagery for extraction of objects and their uncertainty. Int. J. Remote Sens. 26, 2917–2936 (2005)
Mäenpää, T., Pietikäinen, M.: Texture analysis with Local Binary Patterns. In: Chen, C.H., Pau, L.F., Wang, P.S.P. (eds.) Handbook of Pattern Recognition and Computer Vision, 2nd edn., pp. 197–216. World Scientific, Singapore (2005)
Mäenpää, T., Turtinen, T., Pietikäinen, M.: Real-time surface inspection by texture. Real-Time Imaging 9, 289–296 (2003)
Mäenpää, T., Ojala, T., Pietikäinen, M., Maricor, S.: Robust Texture Classification by Subsets of Local Binary Patterns. In: Proceedings of the International Conference on Pattern Recognition, Barcelona (Spain), September 2000 (2000)
Motzkin, T.S., Raifa, H., Thompson, G.L., Thrall, R.M.: The Double Description Method, vol. 2. Princeton University Press, Princeton (1953)
Nanni, L., Lumini, A.: Local binary patterns for a hybrid fingerprint matcher. Pattern Recognit. 41, 3461–3466 (2008)
Nanni, L., Lumini, A., Brahnam, S.: Local binary patterns variants as texture descriptors for medical image analysis. Artif. Intell. Med. 49(2), 117–125 (2010)
Ojala, T., Pietikäinen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recognit. 29, 51–59 (1996)
Ojala, T., Pietikäinen, M., Mäenpää, T.: Multiresolution gray-scale and rotation invariant texture classification with Local Binary Patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24, 971–987 (2002)
Petrou, M., García Sevilla, P.: Image Processing. Dealing with Texture. Wiley-Interscience, New York (1982)
Rosenfeld, A., Kak, A.C.: Digital Picture Processing. Academic Press, San Diego (1982)
Shan, C., Gong, S., McOwan, P.W.: Facial expression recognition based on local binary patterns: A comprehensive study. Image Vis. Comput. 27, 803–816 (2009)
Shulman, N., Feder, M.: The Uniform Distribution as a Universal Prior. IEEE Trans. Inf. Theory 50, 1864–1870 (2004)
Sørensen, L., Shaker, S.B., De Bruijne, M.: Quantitative analysis of pulmonary emphysema using local binary patterns. IEEE Trans. Med. Imaging 29, 559–569 (2010)
Stanley, R.P.: Enumerative Combinatorics, vol. 1. Cambridge University Press, Cambridge (1997)
Tajeripour, F., Kabir, E., Sheikhi, A.: Fabric defect detection using modified local binary patterns. EURASIP J. Adv. Signal Process. (2008). doi:10.1155/2008/783898
Takala, V., Pietikäinen, M.: Multi-object tracking using color, texture and motion. In: Proceedings of the Seventh IEEE International Workshop on Visual Surveillance, Chicago, (USA), June 2007 (2007)
Tuceryan, M., Jain, A.K.: Texture analysis. In: The Handbook of Pattern Recognition and Computer Vision, 2nd edn. World Scientific, Singapore (1998)
van Herick, A.W.: Theoretical and computational methods for lattice point enumeration in inside-out polytopes. Master Thesis, San Francisco State University, San Francisco (USA), August 2007
Varma, M., Zisserman, A.: A statistical approach to material classification using image patch exemplars. IEEE Trans. Pattern Anal. Mach. Intell. 31, 971–987 (2009)
Verdoolaege, S.: Barvinok: User Guide. Version: 0.30, March 2010. Available at http://freshmeat.net/projects/barvinok/
Xie, X., Mirmehdi, M.: A galaxy of texture features. In: Mirmehdi, M., Xie, X., Suri, J. (eds.) Handbook of Texture Analysis, pp. 375–406. Imperial College Press, London (2008)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Bianconi, F., Fernández, A. On the Occurrence Probability of Local Binary Patterns: A Theoretical Study. J Math Imaging Vis 40, 259–268 (2011). https://doi.org/10.1007/s10851-011-0261-7
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10851-011-0261-7