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An Efficient Multi-scale Overlapped Block LBP Approach for Leaf Image Recognition

  • Xiao-Ming Ren
  • Xiao-Feng Wang
  • Yang Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7390)

Abstract

In this paper, an effective method based on multi-scale overlapped block LBP is proposed for plant leaf image recognition. Firstly, multi-scale pyramid is employed in order to improve the leaf data utilization. For each scale, each training image is divided into several equal overlapping blocks to extract the LBP histograms. Then, the PCA method is used for LBP feature dimension reduction. Finally, the recognition experiments are performed by using the SVM classifier. We compare the proposed method with Histogram of Oriented Gradients (HOG) method and Inner-Distance Shape Context (IDSC) method on Swedish leaf dataset and our ICL leaf dataset. The experimental results show that the proposed method achieves better performance than IDSC and HOG.

Keywords

Leaf recognition Local Binary Pattern Multi-Scale pyramid Principal Component Analysis 

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References

  1. 1.
    Wang, X.F., Huang, D.S., Du, J.X.: Classification of plant leaf images with complicated background. Applied Mathematics and Computation 205, 916–926 (2008)MathSciNetzbMATHCrossRefGoogle Scholar
  2. 2.
    Wang, X.-F., Du, J.-X., Zhang, G.-J.: Recognition of Leaf Images Based on Shape Features Using a Hypersphere Classifier. In: Huang, D.-S., Zhang, X.-P., Huang, G.-B. (eds.) ICIC 2005. LNCS, vol. 3644, pp. 87–96. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  3. 3.
    Belongie, Malik, J., Puzicha, J.: Shape Matching and Object Recognition Using Shape Context. IEEE Trans. Pattern Analysis and Machine Intelligence 24(4), 509–522 (2002)CrossRefGoogle Scholar
  4. 4.
    Ling, H., Jacobs, D.W.: Using the Inner-Distance for Classification of Articulated Shapes. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, San Diego, pp. 719–726 (2005)Google Scholar
  5. 5.
    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)CrossRefGoogle Scholar
  6. 6.
    Xiao, X.-Y., Hu, R., Zhang, S.-W., Wang, X.-F.: HOG-Based Approach for Leaf Classification. In: Huang, D.-S., Zhang, X., Reyes García, C.A., Zhang, L. (eds.) ICIC 2010. LNCS, vol. 6216, pp. 149–155. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  7. 7.
    Mäenpää, T., Pietikäinen, M.: Multi-scale Binary Patterns for Texture Analysis. In: Bigun, J., Gustavsson, T. (eds.) SCIA 2003. LNCS, vol. 2749, pp. 885–892. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  8. 8.
    Maenpaa, T.: The Local Binary Pattern Approach to Texture Analysis—Extensions and Applications, pp. 42–47 (2003), http://herkules.oulu.fi/isbn9514270762/
  9. 9.
    Liao, S., Zhu, X., Lei, Z., Zhang, L., Li, S.Z.: Learning Multi-scale Block Local Binary Patterns for Face Recognition. In: Lee, S.-W., Li, S.Z. (eds.) ICB 2007. LNCS, vol. 4642, pp. 828–837. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Soderkvist, O.: Computer Vision Classification of Leaves from Swedish Trees, M.S. thesis, Dept. Electron. Eng., Linkoping University, Linkoping, Sweden (2001)Google Scholar
  11. 11.
    Intelligent Computing Laboratory (ICL) plant leaf dataset, http://www.intelengine.cn/English/dataset/index.html
  12. 12.
    Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: Computer Vision and Pattern Recognition 2005, pp. 886–893 (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xiao-Ming Ren
    • 1
    • 2
  • Xiao-Feng Wang
    • 2
    • 3
  • Yang Zhao
    • 1
    • 2
  1. 1.Department of AutomationUniversity of Science and Technology of ChinaHefeiChina
  2. 2.Intelligent Computing LaboratoryHefei Institute of Intelligent Machines, Chinese Academy of SciencesHefeiChina
  3. 3.Key Lab of Network and Intelligent Information ProcessingHefei UniversityHefeiChina

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