Advertisement

A Parametric Active Polygon for Leaf Segmentation and Shape Estimation

  • Guillaume Cerutti
  • Laure Tougne
  • Antoine Vacavant
  • Didier Coquin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6938)

Abstract

In this paper we present a system for tree leaf segmentation in natural images that combines a first, unrefined segmentation step, with an estimation of descriptors depicting the general shape of a simple leaf. It is based on a light polygonal model, built to represent most of the leaf shapes, that will be deformed to fit the leaf in the image. Avoiding some classic obstacles of active contour models, this approach gives promising results, even on complex natural photographs, and constitutes a solid basis for a leaf recognition process.

Keywords

Active Contour Leaf Shape Color Model Active Contour Model Leaf Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Nilsback, M.E., Zisserman, A.: Delving into the whorl of flower segmentation. In: British Machine Vision Conference, vol. 1, pp. 570–579 (2007)Google Scholar
  2. 2.
    Saitoh, T., Kaneko, T.: Automatic recognition of blooming flowers. In: International Conference on Pattern Recognition, vol. 1, pp. 27–30 (2004)Google Scholar
  3. 3.
    Wang, Z., Chi, Z., Feng, D., Wang, Q.: Leaf image retrieval with shape features. In: Laurini, R. (ed.) VISUAL 2000. LNCS, vol. 1929, pp. 477–487. Springer, Heidelberg (2000)CrossRefGoogle Scholar
  4. 4.
    Wang, X.F., Huang, D.S., Du, J.X., Huan, X., Heutte, L.: Classification of plant leaf images with complicated background. Applied Mathematics and Computation 205, 916–926 (2008)MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    Belhumeur, P., Chen, D., Feiner, S., Jacobs, D., Kress, W., Ling, H., Lopez, I., Ramamoorthi, R., Sheorey, S., White, S., Zhang, L.: Searching the world’s herbaria: A system for visual identication of plant species. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part IV. LNCS, vol. 5305, pp. 116–129. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Mokhtarian, F., Abbasi, S.: Matching shapes with self-intersections: Application to leaf classification. IEEE Transactions on Image Processing 13, 653–661 (2004)CrossRefGoogle Scholar
  7. 7.
    Teng, C.H., Kuo, Y.T., Chen, Y.S.: Leaf segmentation, its 3d position estimation and leaf classification from a few images with very close viewpoints. In: Kamel, M., Campilho, A. (eds.) ICIAR 2009. LNCS, vol. 5627, pp. 937–946. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  8. 8.
    Manh, A.G., Rabatel, G., Assemat, L., Aldon, M.J.: Weed leaf image segmentation by deformable templates. Journal of Agricultural Engineering Research 80, 139–146 (2001)CrossRefGoogle Scholar
  9. 9.
    Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1, 321–331 (1988)CrossRefzbMATHGoogle Scholar
  10. 10.
    Chan, T., Vese, L.: Active contours without edges. IEEE Transactions on Image Processing 10, 266–277 (2001)CrossRefzbMATHGoogle Scholar
  11. 11.
    Unal, G., Yezzi, A., Krim, H.: Information-theoretic active polygons for unsupervised texture segmentation. International Journal of Computer Vision 62, 199–220 (2005)CrossRefGoogle Scholar
  12. 12.
    Yuille, A., Hallinan, P., Cohen, D.: Feature extraction from faces using deformable templates. International Journal of Computer Vision 8, 99–111 (1992)CrossRefGoogle Scholar
  13. 13.
    Felzenszwalb, P.: Representation and detection of deformable shapes. PAMI 27, 208–220 (2004)CrossRefGoogle Scholar
  14. 14.
    Cremers, D., Tischhuser, F., Weickert, J., Schnrr, C.: Diffusion snakes: introducing statistical shape knowledge into the mumford-shah functional. Journal of Computer Vision 50, 295–313 (2002)CrossRefzbMATHGoogle Scholar
  15. 15.
    Coste, H.: Flore descriptive et illustrée de la France de la Corse et des contrées limitrophes (1906)Google Scholar
  16. 16.
    Mille, J.: Narrow band region-based active contours and surfaces for 2d and 3d segmentation. Computer Vision and Image Understanding 113, 946–965 (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Guillaume Cerutti
    • 1
    • 2
  • Laure Tougne
    • 1
    • 2
  • Antoine Vacavant
    • 3
  • Didier Coquin
    • 4
  1. 1.Université de Lyon, CNRSFrance
  2. 2.Université Lyon 2, LIRIS, UMR5205France
  3. 3.Université d’Auvergne, ISITClermont-FerrandFrance
  4. 4.LISTIC, Domaine UniversitaireAnnecy le VieuxFrance

Personalised recommendations