Understanding leaves in natural images - A model-based approach for tree species identification

Computer Vision and Image Understanding

Volumn 117, Issue 10, 2013, Pages 1482-1501

  Cerutti, Guillaume ^a,b   Tougne, Laure ^a,b   Mille, Julien ^a,c   Vacavant, Antoine ^d   Coquin, Didier ^e  

^a UNIVERSITÉ DE LYON   (France)

^b UNIVERSITÉ LUMIÈRE LYON 2   (France)

^c UNIVERSITÉ LYON 1   (France)

^d UNIVERSITÉ CLERMONT AUVERGNE   (France)

^e Université de Savoie   (France)

Author keywords

Active contours; Classification; Geometric features; Image segmentation; Natural background; Plant recognition; Tree leaf

Indexed keywords

CLASSIFICATION (OF INFORMATION); FORESTRY; IMAGE PROCESSING; PLANTS (BOTANY); SEMANTICS; TREES (MATHEMATICS);

ACTIVE CONTOURS; GEOMETRIC FEATURE; NATURAL BACKGROUNDS; PLANT RECOGNITION; TREE LEAF;

IMAGE SEGMENTATION;

EID: 84885374723     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2013.07.003     Document Type: Article

References (31)

1. P. Belhumeur, D. Chen, S. Feiner, D. Jacobs, W. Kress, H. Ling, I. Lopez, R. Ramamoorthi, S. Sheorey, S. White, L. Zhang, Searching the World's Herbaria: a system for visual identification of plant species, in: European Conference on Computer Vision, 2008.
2. H. Goëau, P. Bonnet, A. Joly, N. Boujemaa, D. Barthelemy, J.-F. Molino, P. Birnbaum, E. Mouysset, M. Picard, The CLEF 2011 Plant Images Classification Task, 2011a.
3. X. F. Wang, D. S. Huang, J. X. Du, X. Huan, L. Heutte, Classification of plant leaf images with complicated background, Applied Mathematics and Computation 205 (2) (2008) 916-926.
4. M.-E. Nilsback, A. Zisserman, Delving into the whorl of flower segmentation, in: British Machine Vision Conference, vol. 1, 2007, pp. 570-579.
5. H. Goëau, A. Joly, I. Yahiaoui, P. Bonnet, E. Mouysset, Participation of INRIA & Pl@ntNet to ImageCLEF 2011 plant images classification task, in: CLEF (Notebook Papers/Labs/Workshop), 2011b.
6. F. Mokhtarian, S. Abbasi, Matching shapes with self-intersections: application to leaf classification, IEEE Transactions on Image Processing 13 (5) (2004) 653-661.
7. Z. Wang, Z. Chi, D. Feng, Q. Wang, Leaf image retrieval with shape features, in: Advances in Visual Information Systems, vol. 1929 of Lecture Notes in Computer Science, 2000, pp. 41-52.
8. C.-H. Teng, Y.-T. Kuo, Y.-S. Chen, Leaf segmentation, its 3D position estimation and leaf classification from a few images with very close viewpoints, in: Proceedings of the 6th International Conference on Image Analysis and Recognition, ICIAR'09, 2009, pp. 937-946.
9. T. Saitoh, T. Kaneko, Automatic recognition of wild flowers, in: International Conference on Pattern Recognition, 2000, pp. 2507-2510.
10. J. X. Du, X. F. Wang, G.-J. Zhang, Leaf shape based plant species recognition, Applied Mathematics and Computation 185 (2007) 883-893.
11. C. Im, H. Nishida, T. L. Kunii, A hierarchical method of recognizing plant species by leaf shapes, in: MVA, 1998, pp. 158-161.
12. T. Saitoh, T. Kaneko, Automatic recognition of blooming flowers, in: International Conference on Pattern Recognition, vol. 1, 2004, pp. 27-30.
13. A.-G. Manh, G. Rabatel, L. Assemat, M.-J. Aldon, Weed leaf image segmentation by deformable templates, Journal of Agricultural Engineering Research 80 (2) (2001) 139-146. (Pubitemid 33105302)
14. M. Kass, A. Witkin, D. Terzopoulos, Snakes: active contour models, International Journal of Computer Vision 1 (4) (1988) 321-331.
15. T. Chan, L. Vese, Active contours without edges, IEEE Transactions on Image Processing 10 (2) (2001) 266-277. (Pubitemid 32254596)
16. S. Osher, J. A. Sethian, Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics 79 (1) (1988) 12-49.
17. G. Unal, A. Yezzi, H. Krim, Information-theoretic active polygons for unsupervised texture segmentation, International Journal of Computer Vision 62 (3) (2005) 199-220. (Pubitemid 40356775)
18. A. Yuille, P. Hallinan, D. Cohen, Feature extraction from faces using deformable templates, International Journal of Computer Vision 8 (2) (1992) 99-111. (Pubitemid 23621958)
19. T. F. Cootes, C. J. Taylor, D. H. Cooper, J. Graham, Active shape models - their training and application, Computer Vision and Image Understanding 61 (1) (1995) 38-59.
20. P. Felzenszwalb, Representation and detection of deformable shapes, PAMI 27 (2004) 208-220. (Pubitemid 40377314)
21. D. Cremers, F. Tischhäuser, J. Weickert, C. Schnörr, Diffusion snakes: introducing statistical shape knowledge into the Mumford-Shah functional, International Journal Of Computer Vision 50 (2002) 295-313. (Pubitemid 35377417)
22. G. Cerutti, L. Tougne, A. Vacavant, D. Coquin, A parametric active polygon for leaf segmentation and shape estimation, in: 7th International Symposium on Visual Computing, 2011a.
23. L. Cheng, T. Caelli, A. Sanchez-Azofeifa, Component optimization for image understanding: a bayesian approach, IEEE Transactions on Pattern Analysis Machine Intelligence 28 (5) (2006).
24. A. P. Dempster, A generalization of bayesian inference, Journal of the Royal Statistical Society 30 (1968) 205-247.
25. G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, 1976.
26. G. Cerutti, L. Tougne, J. Mille, A. Vacavant, D. Coquin, Guiding active contours for tree leaf segmentation and identification, in: CLEF (Notebook Papers/Labs/Workshop), 2011b.
27. H. Coste, Flore descriptive et illustrée de la France de la Corse et des contrées limitrophes, 1906.
28. Y. Shi, W. C. Karl, A real-time algorithm for the approximation of level-setbased curve evolution, IEEE Transactions on Image Processing 17 (5) (2008) 645-656. (Pubitemid 351597157)
29. R. Malladi, J. A. Sethian, B. C. Vemuri, Shape modeling with front propagation: a level set approach, IEEE Transactions on Pattern Analysis and Machine Intelligence 17 (2) (1995) 158-175.
30. C. H. Teh, R. T. Chin, On the detection of dominant points on digital curves, IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (8) (1989) 859-872.
31. S. C. Pei, C. N. Lin, The detection of dominant points on digital curves by scalespace filtering, Pattern Recognition 25 (11) (1992) 1307-1314.