Efficient segmentation of leaves in semi-controlled conditions

Machine Vision and Applications

Volumn 24, Issue 8, 2013, Pages 1623-1643

  Soares, João V B ^a   Jacobs, David W ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

Electronic field guide; Expectation Maximization; Graph cut; Image segmentation; Species identification

Indexed keywords

ELECTRONIC FIELD GUIDE; EXPECTATION MAXIMIZATION; GRAPH CUT; INTERACTIVE APPLICATIONS; PLANT SPECIES IDENTIFICATION; QUANTITATIVE COMPARISON; SEGMENTATION ALGORITHMS; SPECIES IDENTIFICATION;

GRAPHIC METHODS;

IMAGE SEGMENTATION;

EID: 84886783171     PISSN: 09328092     EISSN: 14321769     Source Type: Journal    
DOI: 10.1007/s00138-013-0530-0     Document Type: Article

References (39)

1. Agarwal, G., Belhumeur, P., Feiner, S., Jacobs, D., Kress, W.J., Ramamoorthi, R., Bourg, N.A., Dixit, N., Ling, H., Mahajan, D., Russell, R., Shirdhonkar, S., Sunkavalli, K., White, S.: First steps toward an electronic field guide for plants. Taxon 55(3), 597-610 (2006)
2. Alpert, S., Galun, M., Basri, R., Brandt, A.: Image segmentation by probabilistic bottom-up aggregation and cue integration. In: Computer Vision and Pattern Recognition (CVPR), pp. 1-8 (2007)
3. Arbelaez, P., Fowlkes, C., Martin, D., Malik, J.: Berkeley segmentation and boundary detection benchmark and dataset (Accessed 2011). http://www.eecs.berkeley.edu/Research/Projects/CS/vision/grouping/resources.html
4. Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898-916 (2011)
5. Arora, A., Gupta, A., Bagma, N., Mishra, S., Bhattacharya, A.: A plant identification system using shape and morphological features on segmented leaflets. In: Working Notes of CLEF 2012 Conference (2012)
6. Bakic, V., Yahiaoui, I., Mouine, S., Litayem, S., Ouertani, W., Verroust-Blondet, A., Goëau, H., Joly, A.: Inria IMEDIA2's participation at ImageCLEF 2012 plant identification task. In: Working Notes of CLEF 2012 Conference (2012)
7. 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 identification of plant species. In: European Conference on Computer Vision, pp. 116-129 (2008)
8. Bishop, C.M.: In: Pattern recognition and machine learning. Information Science and Statistics. Springer, New York (2006)
9. Boykov, Y., Jolly, M.P.: Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images. In: International Conference on Computer Vision, vol. 1, pp. 105-112 (2001)
10. Boykov, Y., Kolmogorov, V.: An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9), 1124-1137 (2004)
11. Camargo Neto, J., Meyer, G.E., Jones, D.D.: Individual leaf extractions from young canopy images using Gustafson-Kessel clustering and a genetic algorithm. Comput. Electron. Agric. 51(1), 66-85 (2006)
12. Casanova, D., Florindo, J.B., Gonçalves, W.N., Bruno, O.M.: IFSC/USP at ImageCLEF 2012: Plant identification task. In: Working notes of CLEF 2012 Conference (2012)
13. Cerutti, G., Antoine, V., Tougne, L., Mille, J., Coquin, D., Vacavant, A.: ReVeS Participation - Tree species classification using random forests and botanical features. In: Working Notes of CLEF 2012 Conference (2012)
14. Chai, Y., Lempitsky, V., Zisserman, A.: BiCoS: A bi-level co-segmentation method for image classification. In: International Conference on Computer Vision (2011)
15. Christoudias, C., Georgescu, B., Meer, P.: Synergism in low-level vision. In: International Conference on Pattern Recognition, vol. 4, pp. 150-155 (2002)
16. Comaniciu, D., Meer, P.: Mean shift: a robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Mach. Intell. 24(5), 603-619 (2002)
17. Cour, T., Benezit, F., Shi, J.: Spectral segmentation with multiscale graph decomposition. In: Computer Vision and Pattern Recognition, pp. 1124-1131 (2005)
18. Dixon, W.J., Mood, A.M.: The statistical sign test. J. Am. Stat. Assoc. 41(236), 557-566 (1946)
19. Felzenszwalb, P., Huttenlocher, D.: Efficient graph-based image segmentation. Int. J. Comput. Vis. 59, 167-181 (2004)
20. Fukunaga, K.: Introduction to Statistical Pattern Recognition, 2nd edn. Academic press, San Diego (1990)
21. Galun, M., Sharon, E., Basri, R., Brandt, A.: Texture segmentation by multiscale aggregation of filter responses and shape elements. In: Computer Vision and Pattern Recognition (CVPR), pp. 716-723 (2003)
22. Goëau, H., Bonnet, P., Joly, A., Yahiaoui, I., Barthé lémy, D., Boujemaa, N., Molino, J.: The ImageCLEF 2012 plant identification task. In: Working Notes of CLEF 2012 Conference (2012)
23. Heckemann, R.A., Hajnal, J.V., Aljabar, P., Rueckert, D., Hammers, A.: Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. NeuroImage 33(1), 115-126 (2006)
24. Kohli, P., Ladick, L., Torr, P.H.S.: Robust higher order potentials for enforcing label consistency. Int. J. Comput. Vis. 82(3), 302-324 (2009)
25. Kumar, M., Torr, P., Zisserman, A.: Obj Cut. In: Computer Vision and Pattern Recognition, vol. 1, pp. 18-25 (2005)
26. Kumar, N., Belhumeur, P.N., Biswas, A., Jacobs, D.W., Kress, W.J., Lopez, I.C., Soares, J.V.B.: Leafsnap: a computer vision system for automatic plant species identification. In: European Conference on Computer Vision, pp. 502-516 (2012)
27. Kumar, S., Hebert, M.: Discriminative random fields. Int. J. Comput. Vis. 68(2), 179-201 (2006)
28. Leung, T., Malik, J.: Contour continuity in region based image segmentation. In: European Conference on Computer Vision, pp. 544-559. Springer, Berlin (1998)
29. Manh, A.G., Rabatel, G., Assemat, L., Aldon, M.J.: Weed leaf image segmentation by deformable templates. J. Agric. Eng. Res. 80(2), 139-146 (2001)
30. Martin, D., Fowlkes, C., Malik, J.: Learning to detect natural image boundaries using local brightness, color, and texture cues. IEEE Trans. Pattern Anal. Mach. Intell. 26(5), 530-549 (2004)
31. Nilsback, M.E., Zisserman, A.: Delving into the whorl of flower segmentation. In: BMVC (2007)
32. Nilsback, M.E., Zisserman, A.: Automated flower classification over a large number of classes. In: Indian Conference on Computer Vision, Graphics and Image Processing (2008)
33. Open source computer vision library (OpenCV). http://opencv.org/
34. Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62-66 (1979)
35. Rother, C., Kolmogorov, V., Blake, A.: "GrabCut": Interactive foreground extraction using iterated graph cuts. In: SIGGRAPH, pp. 309-314 (2004)
36. Sharon, E., Galun, M., Sharon, D., Basri, R., Brandt, A.: Hierarchy and adaptivity in segmenting visual scenes. Nature 442(7104), 719-846 (2006)
37. Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 22(8), 888-905 (2000)
38. Welinder, P., Branson, S., Mita, T., Wah, C., Schroff, F., Belongie, S., Perona, P.: Caltech-UCSD birds 200. Tech. Rep. CNS-TR-2010-001, California Institute of Technology (2010)
39. Yanikoglu, B., Aptoula, E., Tirkaz, C.: Sabanci-Okan System at ImageClef 2012: Combining features and classifiers for plant identification. In: Working Notes of CLEF 2012 Conference (2012)