Abstract
Compared to vector based manifold learning methods, image based methods can reduce the complexity of algorithm, avoid the small sample size problem and give more spatial structural information of image. Two-dimensionality Locality Discriminat Projections (2D-LDP) is proposed, which an effective dimensionality reduction method and benefits from three parts, i.e., Locality Preserving Projections (LPP) algorithm, image based projection and discriminant analysis. In this paper, we apply 2DLPP to plant leaf classification. 2D-LDP can detect the intrinsic class-relationships between the leaf images by incorporating both class label information and neighborhood information. The Experimental results show that 2D-DLPP has better classifying performance than other methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Mokhtarian, F., Abbasi, S.: Matching Shapes with Self-Intersection: Application to Leaf Classification. IEEE Transaction on Image Processing 13(5), 653–661 (2004)
Li, Y., Zhu, Q., Cao, Y., Wang, C.: A Leaf Vein Extraction Method Based On Snakes Technique. In: Proceedings of IEEE International Conference on Neural Networks and Brain, pp. 885–888 (2005)
Joao, C., George, M., David, J.: Plant Species Identification Using Elliptic Fourier Leaf Shape Analysis. Computers and Electronics in Agriculture (50), 121–134 (2006)
Bruno, M., Plotze, O., Falvo, M.: Fractal Dimension Applied to Plant Identification. Inform. Sci. 178(12), 2722–2733 (2008)
Mokhtarian, F., Abbasi, S.: Matching Shapes with Self-Intersection: Application to Leaf Classification. IEEE Transaction on Image Processing 13(5), 653–661 (2004)
Joao, C., George, M., David, J., et al.: Plant Species Identification Using Elliptic Fourier Leaf Shape Analysis. Computers and Electronics in Agriculture (50), 121–134 (2006)
Bruno, O., Plotze, R., Falvo, M., et al.: Fractal Dimension Applied to Plant Identification. Inform. Sci. 178(12), 2722–2733 (2008)
Zheng, W., Lai, J., Li, Z.: 1D-LDA versus 2D-LDA: When Is Vector-based Linear Discriminant Analysis Better than Matrix-based? Pattern Recognition 41(7), 2156–2172 (2008)
Chen, S., Zhao, H., Kong, M., Luo, B.: 2D-LPP: A Two-dimensional Extension of Locality Preserving Projections. Neurocomputing 70, 912–921 (2007)
Cai, D., He, X., Zhou, K., et al.: Locality Sensitive Discriminant Analysis. In: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, SW., Zhang, CL. (2012). Two-Dimensional Locality Discriminant Projection for Plant Leaf Classification. In: Huang, DS., Ma, J., Jo, KH., Gromiha, M.M. (eds) Intelligent Computing Theories and Applications. ICIC 2012. Lecture Notes in Computer Science(), vol 7390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31576-3_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-31576-3_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31575-6
Online ISBN: 978-3-642-31576-3
eBook Packages: Computer ScienceComputer Science (R0)