Evaluation of noise robustness for local binary pattern descriptors in texture classification Local binary patterns (LBP)-based image and video analysis

Eurasip Journal on Image and Video Processing

Volumn 2013, Issue , 2013, Pages

  Kylberg, Gustaf ^a   Sintorn, Ida Maria ^b  

^a UPPSALA UNIVERSITY   (Sweden)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ADDITIVE GAUSSIAN WHITE NOISE; FASTER IMPLEMENTATION; GRAY-LEVEL CO-OCCURRENCE MATRIX; LOCAL BINARY PATTERN OPERATORS; LOCAL BINARY PATTERNS; LOCAL TERNARY PATTERNS (LTP); NEAREST NEIGHBOR CLASSIFIER; TEXTURE CLASSIFICATION;

FILTER BANKS; TEXTURES; VIRUSES;

CONTENT BASED RETRIEVAL;

EID: 84887189340     PISSN: 16875176     EISSN: 16875281     Source Type: Journal    
DOI: 10.1186/1687-5281-2013-17     Document Type: Article

References (38)

1. Haralick RM, Shanmugam K, Dinstein I: Textural features for image classification. IEEE Trans. Syst. Man Cybern 1973,3(6):610-621.
2. Jain A: Learning texture discrimination masks. IEEE Trans. Pattern Anal. Mach. Intell 1996,18(2):195-205. (Pubitemid 126772806)
3. Pietikäinen M, Hadid A, Zhao G, Ahonen T: Computer Vision Using Local Binary Patterns, vol. 40 of Computational Imaging and Vision. London: Springer; 2011.
4. Harwood D, Ojala T, Pietikäinen M, Kelman S, Davis L: Texture classification by center-symmetric auto-correlation, using Kullback discrimination of distributions. Pattern Recognit. Lett 1995, 16:1-10.
5. Wang L, He DC: Texture classification using texture spectrum. Pattern Recognit 1990,23(8):905-910.
6. Ojala T, Pietikäinen M, Harwood D: A comparative study of texture measures with classification based on featured distributions. Pattern Recognit 1996, 29:51-59.
7. Nanni L, Lumini A, Brahnam S: Survey on LBP based texture descriptors for image classification. Expert Syst. Appl 2012,39(3):3634-3641.
8. Nanni L, Lumini A, Brahnam S: Local binary patterns variants as texture descriptors for medical image analysis. Artif. Intell. Med 2010,49(2):117-125.
9. Fernández A, Álvarez M, Bianconi F: Texture description through histograms of equivalent patterns. J. Math. Imag. Vision 2013, 45:76-102.
10. Mäenpää T, Ojala T, Pietikäinen M, Soriano M: Robust texture classification by subsets of local binary patterns. In Proceedings 15th International Conference on Pattern Recognition, ICPR 2000. Barcelona, Spain; 2000:935-938.
11. Kylberg G, Uppström M, Sintorn IM: Virus texture analysis using local binary patterns and radial density profiles. In Proceedings of the 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, vol. 7042 of Lecture Notes in Computer Science. Pucón, Chile; 2011:573-580.
12. Granlund GH: In search of a general picture processing operator. Comput. Graph. Image Process 1978,8(2):155-173.
13. Brodatz P: Textures: A Photographic Album for Artists and Designers. New York: Dover Publications; 1966.
14. Caputo B, Hayman E, Mallikarjuna P: Class-specific material categorisation. In Proceedings of the 10th IEEE International Conference on Computer Vision, ICCV 2005. China: Beijing; 2005:1597-1604. (Pubitemid 44042368)
15. Kylberg G: The Kylberg Texture Dataset v. 1.0. External report (Blue series) 35, Centre for Image Analysis, Swedish University of Agricultural Sciences and Uppsala University. Uppsala, Sweden; 2011. http://www.cb.uu.se/ ~gustaf/texture/
16. Fernández A, Álvarez MX, Bianconi F: Image classification with binary gradient contours. Opt. Lasers Eng 2011,49(9-10):1177-1184.
17. Lazebnik S, Schmid C, Ponce J: A sparse texture representation using local affine regions. IEEE Trans. Pattern Anal. Mach. Intell 2005,27(8):1265-1278. (Pubitemid 41245056)
18. Randen T: Brodatz textures at Trygve Randen's website. (2011). http://www.ux.uis.no/~tranden/
19. KTH-TIPS 2b (2012). http://www.nada.kth.se/cvap/databases/kth-tips/
20. Kylberg G: Kylberg Texture Dataset v.1.0. 2012. http://www.cb.uu.se/ ~gustaf/texture/
21. Fernández A, Ghita O, González E, Bianconi F, Whelan PF: Evaluation of robustness against rotation of LBP, CCR and ILBP features in granite texture classification. Mach. Vis. Appl 2010,22(6):913-926.
22. Mondial Marmi Texture Dataset v. 1.1 (2012). http://dismac.dii.unipg.it/ mm/ver-1-1/
23. UIUC Texture Database (2012). http://www-cvr.ai.uiuc.edu/ponce-grp/data/
24. Kylberg G: Virus Texture Dataset v. 1.0. (2012). http://www.cb.uu.se/ ~gustaf/virustexture/
25. Ojala T, Mäenpää T: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Mach. Intell 2002,24(7):971-987. (Pubitemid 34835471)
26. Heikkilä M, Ahonen T (2012). http://www.cse.oulu.fi/CMV/Downloads/ LBPMatlab
27. Jin H, Liu Q, Lu H, Tong X: Face detection using improved LBP under Bayesian framework. In Proceedings of the 3rd International Conference on Image and Graphics, ICIG 2004. China: Hong Kong; 2004:306-309. (Pubitemid 40498090)
28. Hafiane A, Seetharaman G, Zavidovique B: Median binary pattern for textures classification. In Proceedings of the 4th International Conference, ICIAR 2007, vol. 4633 of Lecture Notes in Computer Science. Montreal, Canada; 2007:387-398.
29. Tan X, Triggs B: Enhanced local texture feature sets for face recognition under difficult lighting conditions. IEEE Trans. Image Process 2007,19(6):1635-1650.
30. Nanni L, Brahnam S, Lumini A: A local approach based on a local binary patterns variant texture descriptor for classifying pain states. Expert Syst. Appl 2010,37(12):7888-7894.
31. Heikkilä M, Pietikäinen M: A texture-based method for modeling the background and detecting moving objects. IEEE Trans. Pattern Anal. Mach. Intell 2006,28(4):657-662. (Pubitemid 43264663)
32. Iakovidis DK, Keramidas EG, Maroulis D: Fuzzy local binary patterns for ultrasound texture characterization. In Proceedings of the 5th International Conference on Image Analysis and Recognition, ICIAR 2008, vol. 5112 of Lecture Notes in Computer Science. Portugal: Póvoa de Varzim; 2008:750-759.
33. Ahonen T, Pietikäinen M: Soft histograms for local binary patterns. In Proceedings of the Finnish Signal Processing Symposium, FINSIG 2007. Oulu, Finland; 2007:1-4.
34. Herve N, Servais A, Thervet E, Olivo-Marin JC, Meas-Yedid V: Statistical color texture descriptors for histological images analysis. In Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2011. Chicago, USA; 2011:724-727.
35. Bianconi F, Fernández A: Evaluation of the effects of Gabor filter parameters on texture classification. Pattern Recognit 2007,40(12):3325-3335. (Pubitemid 47223300)
36. Zhang D, Wong A, Indrawan M, Lu G: Content-based image retrieval using Gabor texture features. In Proceedings of the First IEEE Pacific-Rim Conference on Multimedia, PCM 2000. Sydney, Australia; 2000:1139-1142.
37. Kylberg G: FLBP and SLBP implementations for Matlab. (2013). http://www.cb.uu.se/~gustaf/textureDescriptors/
38. Ghita O, Ilea D, Fernandez A, Whelan P: Local binary patterns versus signal processing texture analysis: a study from a performance evaluation perspective. Sensor Rev 2012,32(2):149-162.