Mrs. A. A. Chavan, Asst.Prof. Mrs.S. S. Patil


Texture analysis is important in many applications of computer image analysis for classification or segmentation of images based on local spatial variations of intensity or color.The proposed analysis of texture classification characteristics with local binary pattern (LBP) and an associated completed LBP (CLBP).A successful classification or segmentation requires an efficient description of image texture. In this system, image features of database images will be extracted using LBP & CLBP descriptor. These extracted features in the form of histogram will be given to SVM classifier and depending on no. of accurately classified images; results will be shown in graph.


Texture descriptors, local binary pattern (LBP), feature extraction,texture classification

Full Text:



Li Liu, Yunli Long, Paul W. Fieguth, Songyang Lao, and Guoying Zhao, “BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification”, IEEE Trans. On Image Processing, VOL. 23, NO. 7, July 2014

T. Ojala;M. Pietikäinen, and T. Mäenpää,“Multi-resolution gray-scaleand rotation invariant texture classification with local binary patterns,”IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 7, pp. 971–987,Jul. 2002

L. Liu; P. Fieguth,“Texture classification from random features”,IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 3, pp. 574–586, Mar. 2012.

M. Varma; A. Zisserman,“A statistical approach to material classification using image patches” IEEE Trans. Pattern Anal. Mach. Intell., vol. 31, no. 11, pp. 2032–2047, Nov. 2009.

B. S. Manjunath; W. Y. Ma,“Texture features for browsing and retrieval of image data,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 8, pp. 837–842, Aug. 1996.

F. M. Khellah, “Texture classification using dominant neighborhood structure”, IEEE Trans. Image Process., vol. 20, no. 11, pp. 3270–3279, Nov. 2011

ZhenhuaGuo, Lei Zhang, and David Zhang,”A Completed Modeling of Local Binary PatternOperator for Texture Classification” IEEE Trans. on Image Process, vol. 19, NO. 6, June 2010

S. Liao, Max W. K. Law, and Albert C. S. Chung,” Dominant Local Binary Patterns for Texture Classification” IEEE Trans. On Image Process, Vol. 18, NO. 5, May 2009

Di Huang,CaifengShan,MohsenArdabilian, Yunhong Wang, and Liming Chen,” Local Binary Patterns and Its Application to Facial Image Analysis: A Survey” IEEE Trans on Systems, Vol. 41, No. 6, November 2011

Faisal Ahmed, EmamHossain ,A.S.M. Hossain Bari and Md. SakhawatHossen ”Compound Local Binary Pattern (CLBP) for Rotation Invariant Texture Classification”, International Journal of Computer Applications (0975 – 8887) Volume 33– No.6, November2011.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.