Intelligent understanding of user input applied to arc-weight estimation for graph-based foreground segmentation

Proceedings - 23rd SIBGRAPI Conference on Graphics, Patterns and Images, SIBGRAPI 2010

Volumn , Issue , 2010, Pages 164-171

  Spina, Thiago Vallin ^a   Falcão, Alexandre Xavier ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Clustering; Fuzzy supervised classification; Graph based image segmentation; Image foresting transform; Intelligent arc weight estimation; Multiscale image filtering

Indexed keywords

CLUSTERING; FUZZY SUPERVISED CLASSIFICATION; GRAPH-BASED IMAGE SEGMENTATION; IMAGE FORESTING TRANSFORM; INTELLIGENT ARC-WEIGHT ESTIMATION; MULTISCALES;

DATA PROCESSING; ESTIMATION; PIXELS;

IMAGE SEGMENTATION;

EID: 79952847650     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2010.30     Document Type: Conference Paper

References (14)

1. A. X. Falcão, J. K. Udupa, S. Samarasekera, S. Sharma, B. E. Hirsch, and R. A. Lotufo, "User-steered image segmentation paradigms: Live-wire and live-lane," Graphical Models and Image Processing, vol. 60, no. 4, pp. 233-260, 1998.
2. 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, vol. 1, 2001, pp. 105-112.
3. A. Protiere and G. Sapiro, "Interactive image segmentation via adaptive weighted distances," IEEE Transactions on Image Processing, vol. 16, no. 4, pp. 1046-1057, Apr 2007.
4. C. Rother, V. Kolmogorov, and A. Blake, ""grabcut": interactive foreground extraction using iterated graph cuts," ACM Transactions on Graphics, vol. 23, no. 3, pp. 309-314, 2004.
5. L. Grady, "Random walks for image segmentation," IEEE Transactions Pattern Anaysis and Machine Intelligence, vol. 28, no. 11, pp. 1768-1783, 2006.
6. P. A. V. Miranda, A. X. Falcão, and J. K. Udupa, "Synergistic Arc-Weight Estimation for Interactive Image Segmentation using Graphs," Computer Vision and Image Understanding, vol. 114, no. 1, pp. 85-99, Jan 2010.
7. A. X. Falcão and F. P. G. Bergo, "Interactive volume segmentation with differential image foresting transforms," IEEE Transactions on Medical Imaging, vol. 23, no. 9, pp. 1100-1108, 2004.
8. A. X. Falcão, J. Stolfi, and R. A. Lotufo, "The image foresting transform: Theory, algorithms, and applications," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 1, pp. 19-29, 2004.
9. P. A. V. Miranda and A. X. Falcão, "Links between image segmentation based on optimum-path forest and minimum cut in graph," Journal of Mathematical Imaging and Vision, vol. 35, no. 2, pp. 128-142, October 2009.
10. L. M. Rocha, F. A. M. Cappabianco, and A. X. Falcão, "Data clustering as an optimum-path forest problem with applications in image analysis," International Journal of Imaging Systems and Technology, vol. 19, no. 2, pp. 50-68, 2009.
11. T. V. Spina, J. A. Montoya-Zegarra, A. X. Falcão, and P. A. V. Miranda, "Fast interactive segmentation of natural images using the image foresting transform," in DSP'09: Proceedings of the 16th international conference on Digital Signal Processing. Santorini, Greece: IEEE Press, 2009, pp. 998-1005.
12. J. P. Papa, A. X. Falcão, and C. T. N. Suzuki, "Supervised pattern classification based on optimum-path forest," International Journal of Imaging Systems Technology, vol. 19, no. 2, pp. 120-131, June 2009.
13. J. Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888-905, Aug 2000.
14. C. van Rijsbergen, Information retrieval, 2nd ed. London: Wiley Inter-science, 1979.