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Sorted Uniform Local Binary Patterns

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Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 829))

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Abstract

Sorted Uniform LBP (SULBP) is a rotation invariant Local Binary Patterns (LBP) variant that is proposed for leaf image identification. This method is simple and effective, and is shown to outperform other LBP variants in leaf recognition. However, comparative analysis of this method in terms of texture classification is limited. In this paper, we present our extensive comparative analysis of SULBP. Additionally, we have explored different parameters of this system and their effect on the performance. Finally, we have used multiple datasets and classifiers to show the validity of these experiments.

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References

  1. Zhao, G., Ahonenl, T., Matas, J., Pietikainen, M.: Rotation-invariant image and video description with local binary pattern features. 21, 1465–1477 (2012). https://doi.org/10.1109/TIP.2011.2175739

    Article  Google Scholar 

  2. Kalyoncu, C., Toygar, O.: GTCLC: a novel leaf classification method using multiple descriptors. IET Comput. Vis. (2016). ISSN 1751-9632

    Google Scholar 

  3. Kalyoncu, C., Toygar, Ö.: Geometric leaf classification. Comput. Vis. Image Understanding, 133, 102 – 109, 2015. ISSN 1077-3142. https://doi.org/10.1016/j.cviu.2014.11.001. http://www.sciencedirect.com/science/article/pii/S1077314214002124

  4. Sunil Kumar, T., Kanhangad, V., Pachori, R.B.: Classification of seizure and seizure-free EEG signals using local binary patterns. Biomed. Signal Process. Control 15, 33 – 40 (2015). ISSN 1746-8094

    Google Scholar 

  5. Hannad, Y., Siddiqi, I., El Youssfi El Kettani, M.: Arabic Writer Identification Using Local Binary Patterns (LBP) of Handwritten Fragments, pp. 237–244 (2015). ISBN 978-3-319-19390-8

    Google Scholar 

  6. Sorensen, L., Shaker, S.B., de Bruijne, M.: Quantitative analysis of pulmonary emphysema using local binary patterns. IEEE Trans. Med. Imaging 29(2), 559–569 (2010). ISSN 0278-0062. https://doi.org/10.1109/TMI.2009.2038575

  7. Pietikäinen, M.: Image analysis with local binary patterns. In: Image Analysis: SCIA 2005, pp. 115–118 (2005). ISBN 978-3-540-31566-7. https://doi.org/10.1007/11499145_13. URL http://dx.doi.org/10.1007/11499145_13

  8. Sørensen, L., Shaker, S.B., de Bruijne, M.: Texture classification in lung CT using LBP, pp. 934–941 (2008). ISBN 978-3-540-85988-8. https://doi.org/10.1007/978-3-540-85988-8_111. http://dx.doi.org/10.1007/978-3-540-85988-8_111

  9. Zhao, G., Pietikainen, M.: Dynamic texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. Pattern Anal. Mach. Intell. 29(6), 915–928 (2007). ISSN 0162-8828

    Article  Google Scholar 

  10. Ahonen, T., Hadid, A., Pietikainen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006). ISSN 0162-8828

    Article  Google Scholar 

  11. Doshi, N.P.,  Schaefer, G.: Rotation-invariant local binary pattern texture classification. In: ELMAR, 2012 Proceedings, pp. 71–74 (2012)

    Google Scholar 

  12. Ojala, T.,  Pietikainen, M.,  Harwood, D.: Performance evaluation of texture measures with classification based on kullback discrimination of distributions. In: IAPR Intl. Conf. on Comp. Vis. and Im. Proc., vol. 1, pp. 582–585 (1994)

    Google Scholar 

  13. Ojala, T.,  Pietikäinen, M., Mäenpää, T.: Gray scale and rotation invariant texture classification with local binary patterns. In: ECCV, pp. 404–420 (2000). ISBN 978-3-540-45054-2

    Google Scholar 

  14. Ojala, T.,  Pietikainen, M.,  Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971–987 (2002). ISSN 0162-8828. https://doi.org/10.1109/TPAMI.2002.1017623

  15. Ahonen, T.,  Matas, J.,  He, C., Pietikäinen, M.: Rotation invariant image description with local binary pattern histogram fourier features. In: Image Analysis, vol. 5575, pp. 61–70. Springer, Heidelberg (2009). ISBN 978-3-642-02229-6

    Google Scholar 

  16. Ojala, T., Mäenpää, T., Pietikäinen, M., Viertola, J., Kyllönen, J., Huovinen S.: Outex - new framework for empirical evaluation of texture analysis algorithms. In: 16th Intl. Conf. on Pattern Recognition (2002)

    Google Scholar 

  17. Lazebnik, S.,  Schmid, C.,  Ponce, J.: A sparse texture representation using local affine regions. IEEE Trans. Pattern Anal. Mach. Intell., 27(8), 1265–1278 (2005). ISSN 0162-8828

    Google Scholar 

  18. Massachusetts Institute of Technology. Vistex texture classification library (2002). http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html

  19. Spaceky, L.: Collection of facial images: Faces95 (2007). http://cswww.essex.ac.uk/mv/allfaces/faces95.html

  20. Söderkvist, O.J.O.: Computer vision classification of leaves from swedish trees. Master’s thesis, Linköping University (2001)

    Google Scholar 

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Author information

Authors and Affiliations

  1. European University of Lefke, Lefke, 10, Turkey

    Cem Kalyoncu

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  1. Cem Kalyoncu
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Correspondence to Cem Kalyoncu .

Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Nor Muzlifah Mahyuddin

  2. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Nor Rizuan Mat Noor

  3. School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Penang, Malaysia

    Harsa Amylia Mat Sakim

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Kalyoncu, C. (2022). Sorted Uniform Local Binary Patterns. In: Mahyuddin, N.M., Mat Noor, N.R., Mat Sakim, H.A. (eds) Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications. Lecture Notes in Electrical Engineering, vol 829. Springer, Singapore. https://doi.org/10.1007/978-981-16-8129-5_112

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