Comparative study of segmentation methods for tree leaves extraction

ACM International Conference Proceeding Series

Volumn , Issue , 2013, Pages

  Grand Brochier, Manuel ^a   Vacavant, Antoine ^b   Cerutti, Guillaume ^a   Bianchi, Kevin ^c   Tougne, Laure ^a  

^a UNIVERSITÉ LUMIÈRE LYON 2   (France)

^b UNIVERSITÉ CLERMONT AUVERGNE   (France)

^c Keosys Company   (France)

Author keywords

benchmark; comparative study; guided active contour; tree leaves segmentation

Indexed keywords

ACTIVE CONTOUR ALGORITHMS; ACTIVE CONTOURS; COMPARATIVE STUDIES; DICE INDICES; EVALUATION CRITERIA; SEGMENTATION METHODS; SEMI-AUTOMATICS; TREE LEAVES;

BENCHMARKING; COMPUTER APPLICATIONS;

EXTRACTION;

EID: 84885233443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2501105.2501109     Document Type: Conference Paper

References (27)

1. S. Beucher and C. Lantuéjoul, Use of watersheds in contour detection. REMD, 1979.
2. S. Beucher and F. Meyer, The morphological approach to segmentation: the watershed transformation. MMIP, 1993, p. 433-481.
3. Y. Boykov and M. Jolly, Interactive graph cuts for optimal boundary and region segmentation. ICCV, 2001, vol. 1, p. 105-112. (Pubitemid 32794944)
4. P. Brigger and al., B-spline snakes: a exible tool for parametric contour detection. Trans. on Image Processing, 2000, vol. 9(9), p. 1484-1496.
5. J. Canny, A computational approach to edge detection. PAMI, 1986, vol. 8(6), p. 679-698.
6. G. Cerutti and al., Guiding Active Contours for Tree Leaf Segmentation and Identification. CLEF, 2011.
7. T. Chan and L. Vese, Active Contours Without Edges. Trans. on Image Processing, 2001, vol. 10(2), p. 266-277. (Pubitemid 32254596)
8. Y. Cheng, Mean Shift, Mode Seeking, and Clustering. PAMI, 1995, vol. 17(8), p. 790-799.
9. P. Felzenszwalb and D. Huttenlocher, Efficient Graph-Based Image Segmentation. IJCV, 2004, vol. 59(2), p. 167-181.
10. H. Goëau and al., The clef 2011 plant images classification task. 2011.
11. D. Greig and al., Exact maximum a posteriori estimation for binary images. JRSS, 1989, vol. 51, p. 21-279.
12. S. Horowitz and T. Pavlidis, Picture segmentation by a directed split and merge procedure. ICPR, 1974, p. 424-433.
13. J. Horvath, Image segmentation using fuzzy cmeans. SAMI, 2006.
14. M. Kass and al., Snakes : Active contour model. IJCV, 1987, p. 321-331.
15. N. Kumar and al., Leafsnap: a computer vision system for automatic plant species identification. ECCV, 2012, p. 502-516.
16. C. Kurtz and al., Multiresolution region-based clustering for urban analysis. IJRS, 2010, vol. 31(22), p. 5941-5973.
17. M. Lynch and al., Automatic segmentation of the left ventricle cavity and myocardium in MRI data. CBM, 2006, vol. 36(4), p. 389-407.
18. D. Marr and E. Hildreth, Theory of Edge Detection. Biological Sciences, 1980, vol. 207(1167), p. 187-217. (Pubitemid 10103608)
19. J.Neto and al., Individual leaf extractions from young canopy images using Gustafson-Kessel clustering and a genetic algorithm. CEA, 2006, vol. 51(1), p. 66-85.
20. N. Otsu, A threshold selection method from gray-level histograms. TSMC, 1979, vol. 9(1), p. 62-66. (Pubitemid 9413341)
21. C. Rother and al., "Grabcut": interactive foreground extraction using iterated graph cuts. SIGGRAPH, 2004, p. 39-314.
22. N. Salman, Image segmentation based on watershed and edge detection techniques. IAJIT, 2006, vol. 3(2), p. 104-110.
23. C.Teng and al., Leaf segmentation, classification, and three-dimensional recovery from a few images with close viewpoints. Opt. Eng., 2011, vol. 50(3).
24. N.Valliammal and S.Geethalakshmi, Plant Leaf Segmentation Using Non Linear K means Clustering. IJCSI, 2012, vol. 9(1), p. 212-218.
25. S. Wang and R. Haralick, Automatic multi-threshold selection. CVGIP, 1984, vol. 25, p. 46-67.
26. Z. Wang and al., Image quality assessment: From error visibility to structural similarity. TIP, 2004, vol. 13(4), p. 600-612.
27. C. Zimmer and al., Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a toll for cell-base drug testing. Medical Imaging, 2002, vol. 21(10), p. 1212-1221.