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Journal of Electrical and Computer Engineering
Volume 2014, Article ID 751927, 6 pages
http://dx.doi.org/10.1155/2014/751927
Research Article

Arabidopsis Growth Simulation Using Image Processing Technology

School of Technology, Beijing Forestry University, Beijing 100083, China

Received 21 May 2014; Revised 12 July 2014; Accepted 30 July 2014; Published 24 August 2014

Academic Editor: Sos Agaian

Copyright © 2014 Junmei Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. P. L. Xu, “Progress of genome study on model plant Arabidopsis thaliana,” Shandong Agricultural Science, vol. 6, pp. 100–102, 2006. View at Google Scholar
  2. Arabidopsis Genome Initiative, “Analysis of the genome sequence of the flowering plant Arabidopsis thaliana,” Nature, vol. 408, pp. 796–815, 2000. View at Google Scholar
  3. A. Varki and T. K. Altheide, “Comparing the human and chimpanzee genomes: searching for needles in a haystack,” Genome Research, vol. 15, no. 12, pp. 1746–1758, 2005. View at Publisher · View at Google Scholar · View at Scopus
  4. C. Costa, F. Antonucci, F. Pallottino, J. Aguzzi, D. Sun, and P. Menesatti, “Shape analysis of agricultural products: a review of recent research advances and potential application to computer vision,” Food and Bioprocess Technology, vol. 4, no. 5, pp. 673–692, 2011. View at Publisher · View at Google Scholar · View at Scopus
  5. F. P. Kuhl and C. R. Giardina, “Elliptic Fourier features of a closed contour,” Computer Graphics and Image Processing, vol. 18, no. 3, pp. 236–258, 1982. View at Publisher · View at Google Scholar · View at Scopus
  6. J. S. Crampton, “Elliptic Fourier shape analysis of fossil bivalves: some practical considerations,” Lethaia, vol. 28, no. 2, pp. 179–186, 1995. View at Publisher · View at Google Scholar · View at Scopus
  7. P. E. Lestrel, Fourier Descriptors and Their Applications in Biology, Cambridge University Press, Cambridge,UK, 1997.
  8. A. Loy, S. Busilacchi, C. Costa, L. Ferlin, and S. Cataudella, “Comparing geometric morphometrics and outline fitting methods to monitor fish shape variability of Diplodus puntazzo (Teleostea: Sparidae),” Aquacultural Engineering, vol. 21, no. 4, pp. 271–283, 2000. View at Publisher · View at Google Scholar · View at Scopus
  9. R. J. Jensen, K. M. Ciofani, and L. C. Miramontes, “Lines, outlines, and landmarks: Morphometric analyses of leaves of Acer rubrum, Acer saccharinum (Aceraceae) and their hybrid,” Taxon, vol. 51, no. 3, pp. 475–492, 2002. View at Publisher · View at Google Scholar · View at Scopus
  10. P. Menesatti, C. Costa, G. Paglia et al., “Shape-based methodology for multivariate discrimination among Italian hazelnut cultivars,” Biosystems Engineering, vol. 101, no. 4, pp. 417–424, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Costa, P. Menesatti, G. Paglia et al., “Quantitative evaluation of Tarocco sweet orange fruit shape using optoelectronic elliptic Fourier based analysis,” Postharvest Biology and Technology, vol. 54, no. 1, pp. 38–47, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. N. Furuta, S. Ninomiya, N. Takahashi, H. Ohmori, and Y. Ukai, “Quantitative evaluation of soybean leaf let shape by principal component scores based on elliptic Fourier descriptor,” Breeding Science, vol. 45, pp. 315–320, 1995. View at Google Scholar
  13. J. Du, D. Huang, X. Wang, and X. Gu, “Shape recognition based on radial basis probabilistic neural network and application to plant species identification,” in Advances in Neural Networks—ISNN 2005, vol. 3497 of Lecture Notes in Computer Science, pp. 281–285, 2005. View at Publisher · View at Google Scholar
  14. J. C. Neto, G. E. Meyer, D. D. Jones, and A. K. Samal, “Plant species identification using Elliptic Fourier leaf shape analysis,” Computers and Electronics in Agriculture, vol. 50, no. 2, pp. 121–134, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. R. C. Gonzalez and R. E. Woods, “Digital image processing,” in Representation and Description, chapter 11, pp. 511–512, Publishing House of Electronics Industry, Beijing, China, 3rd edition, 2011. View at Google Scholar
  16. C. Harris and M. Stephens, “A combined corner and edge detector,” in Proceedings of the 4th Alvey Vision Conference, pp. 147–151, 1988.
  17. R. C. Gonzalez and R. E. Woods, “Representation and description,” in Digital Image Processing, pp. 511–512, Publishing House of Electronics Industry, Beijing, China, 3rd edition, 2011. View at Google Scholar
  18. M. S. Nixon and A. S. Aguado, “Object description,” in Feature Extraction and Image Processing, chapter 7, pp. 305–307, Academic Press, Oxford, UK, 2008. View at Google Scholar