Fast interactive segmentation of natural images using the image foresting transform

DSP 2009: 16th International Conference on Digital Signal Processing, Proceedings

Volumn , Issue , 2009, Pages

  Spina, T V ^a   Montoya Zegarra, Javier A ^a   Falcao A X ^a   Miranda, P A V ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Differential image foresting transform; Fuzzy classification; Genetic programming; Graph based image segmentation; Image feature selection and or combination; Multiscale image filtering

Indexed keywords

DIFFERENTIAL IMAGE FORESTING TRANSFORM; FUZZY CLASSIFICATION; GRAPH-BASED IMAGE SEGMENTATION; IMAGE FEATURE SELECTION AND/OR COMBINATION; MULTISCALE IMAGE FILTERING;

COMPUTER SOFTWARE SELECTION AND EVALUATION; DIGITAL IMAGE STORAGE; DIGITAL SIGNAL PROCESSING; DIGITAL SIGNAL PROCESSORS; FEATURE EXTRACTION; FUZZY SYSTEMS; IMAGE SEGMENTATION; SIGNAL PROCESSING;

GENETIC PROGRAMMING;

EID: 70449565013     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2009.5201044     Document Type: Conference Paper

References (21)

1. D. Martin , C. Fowlkes, D. Tal, and J. Malik, "Berkeley segmentation dataset and bench-mark," http://www.eecs.berkeley.edu/Research/Projects/ CS/vision/grouping.
2. C. Rother, V. Kolmogorov, A. Blake, and M. Brown, " Image and video editing: Grabcut," http://research.microsoft.com/en-us/um/cambridge/ projects/visionimagevideoediting/segmentation/grabcut.htm.
3. A.X. Falcão , J.K. Udupa, and F.K. Miyazawa, "An ultrafast user-steered image segmentation paradigm: Livewire-on-the-fly," IEEE Trans. on Medical Imaging, vol.19, no.l, pp.55-62, 2000.
4. Y.Y. Boykov and M.-P. Jolly, "Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images," in International Conference on Computer Vision (ICCV), 2001 , vol. I, pp. 105-112.
5. A. Blake, C. Rother, M. Brown, P. Perez, and P. Torr, "Interactive image segmentation using an adaptive gmmrfmodel," in 8th European Conf. on Computer Vision (ECCV), May 2004, vol. I, pp. 428-441.
6. C. Rother, Y. Kolmogorov, and A. Blake, ""grabcut": interactive foreground extraction using iterated graph cuts," ACM Transactions on Graphics, vol. 23, no. 3, pp.309-314,2004.
7. A. Protiere and G. Sapiro, "Interactive image segmentation via adaptive weighted distances," IEEE Transactions on Image Processing, vol. 16, no. 4, pp. 10461057, Apr 2007.
8. X. Bai and G. Sapiro, "A geodesic framework for fast interactive image and video segmentation and matting," in ICCV (International Conference on Computer Vision), Rio De Janeiro, Brazil, 2007, pp. 1-8, IEEE.
9. S. Vicente , Y. Kolrnogorov, and C. Rother, "Graph cut based image segmentation with connectivity priors ," in IEEE Proc. of Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska, Jun 2008, pp. 1-8.
10. A.X. Falcão, J. Stolfi, and R.A. Lotufo, "The image foresting transform: Theory, algorithms, and applications ," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 1, pp. 19-29,2004.
11. A. X. Falcão and F. P. G. Bergo, "Interactive volume segmentation with differential image foresting transforms ," IEEE Trans. on Medical Imaging, vol. 23, no.9, pp.1100-1108, 2004.
12. A. X. Falcão , F. P. G. Bergo, and P. A. Y. Miranda, " Image segmentation by tree pruning," in XV/f Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPl). Oct 2004, pp. 65-71, IEEE.
13. F.P.G. Bergo, A.X. Falcão, PAY. Miranda, and L.M. Rocha, "Automatic image segmentation by tree pruning," Journal ofMathematical Imaging and Vision, vol.29, no. 2-3, pp. 141-162, Nov 2007.
14. PAY. Miranda, AX Falcão, A. Rocha, and F.P.G. Bergo, "Object delineation by x-connected components," EURASIP Journal on Advances in Signal Processing, pp. 1-14,2008, doi: 10.1155/2008 /467928.
15. W. Banzhaf, P. Nordin, R. E. Keller, and F. D. Francone, Genetic Programming - An Introduction; On the Automatic Evolution ofComputer Programs and its Applications, Morgan Kaufmann, San Francisco, CA, USA, Jan 1998.
16. J. Portilla and E. P. Simoncelli, "A parametric texture model based on joint statistics of complex wavelet coefficients," IntI. Journal of Computer Vision, vol. 40, no. 1, pp. 49-70, 2000.
17. F. Meyer, "Levelings, image simplifi cation filters for segmentation," Journal of Mathemati cal Imaging and Vision, vol. 20, no. 1-2, pp. 59-72, 2004.
18. T. Cormen, C. Leiserson, and R. Rivest, Introduction to Algorithms, MIT, 1990.
19. J.P. Papa, A.X. Falcão, C.T.N. Suzuki, and N.D.A. Mascarenhas, "A discrete approach for supervised pattern recognition," in Proc. of the 12th Inti. Workshop on Combinatorial Image Analysis, Buffalo, NY, USA, Apr 7th-9th 2008, vol. LNCS 4958, pp. 136-147, Springer.
20. R.S. Torres, A.X. Falcão, M. A. Gon calves , J. P. Papa, B. Zhang, W. Fan, and E. A. Fox, "A genetic programming framework for content-based image retrieval," Pattern Recognition, vol. 42, pp. 283-292, February 2009.
21. C.J. van Rijsbergen, Information retrieval, Wiley Interscience,London, second edition, 1979.