Call for Paper - May 2023 Edition
IJCA solicits original research papers for the May 2023 Edition. Last date of manuscript submission is April 20, 2023. Read More

Description of Rotation-Invariant Textures using Local Binary Pattern Features

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 9
Year of Publication: 2014
Prashant H. Gutte
Prashant K. Kharat

Prashant H Gutte and Prashant K Kharat. Article: Description of Rotation-Invariant Textures using Local Binary Pattern Features. International Journal of Computer Applications 99(9):28-31, August 2014. Full text available. BibTeX

	author = {Prashant H. Gutte and Prashant K. Kharat},
	title = {Article: Description of Rotation-Invariant Textures using Local Binary Pattern Features},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {9},
	pages = {28-31},
	month = {August},
	note = {Full text available}


Texture classification is one of the most interesting research topics in the field of computer vision. This paper aims at classifying static as well as dynamic textures (DT). Uniform Local binary pattern (LBP) is a combination of structural and statistical analysis model for classification of both static and dynamic textures. The LBP Histogram Fourier (LBP-HF) uses Fast Fourier Transform (FFT) for calculating global rotation invariant of LBP histogram for static texture classification. For dynamic texture classification, LBP-TOP method is used, which computes LBP from three orthogonal planes. It combines both motion and appearance together for classification. The results show that, LBP-HF outperforms uniform LBP as well as basic rotation invariant LBP method for static-textures and LBP-TOP gives higher accuracy for dynamic-textures.


  • Ojala, T. , Pietikäinen, M. ,: "Multiresolution Gray-scale and Rotation Invariant Texture Classification with Local Binary Pattern. " IEEE Transactions on PAMI, vol. 24(7), 971–987 (2002)
  • G. Zhao, T. Ahonen ,J. Matas and M. Pietikäine, "Rotation-Invariant Image and Video Description With LBP Features" IEEE Transactions on image process. Vol. 21, NO 4, April 2012
  • Zhao, G. , Pietikäinen, M. ' "Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions" IEEE Trans. PAMI, vol. 27(6), 915–928 (2007).
  • T. Ahonen, J. Matas, C. He, and M. Pietikäinen, "Rotation invariant image description with local binary pattern histogram Fourier features,"in Proc. 16th Scand. Conf. Image Anal. , 2009, pp. 2037–2041.
  • Ahonen, T. , Hadid, A. , Pietikäinen, M. , "Face Recognition with Local Binary Patterns: Application to Face Recognition". IEEE Trans. PAMI, vol. 28(12), 2037–2041 (2006).
  • Guo, Z. , Zhang, L. , "A Completed Modeling of Local Binary Pattern Operator for Texture Classification" IEEE Trans. IP 19, 1657–1663 (2010).
  • H. Arof and F. Deravi, "Circular neighbourhood and 1-D DFT features for texture classification and segmentation," Proc. Inst. Elect. Eng. —Vis. , Image Signal Process. , vol. 145, no. 3, pp. 167–172, Jun. 1998.