Variance-driven active contours

Proceedings of the 2010 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2010

Volumn 1, Issue , 2010, Pages 83-86

  Turiac, M ^a   Ivanovici, M ^a   Radulescu T ^b   Buzuloiu, V ^c  

^a TRANSILVANIA UNIVERSITY OF BRASOV   (Romania)

^b OmniSud   (Romania)

^c UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

Author keywords

Medical applications; Multi resolution active contours; Snakes; Variance

Indexed keywords

ACTIVE CONTOURS; ALTERNATIVE APPROACH; DIFFERENT SIZES; GRADIENT VECTOR FLOW; MULTI-RESOLUTION APPROACH; PARALLEL IMPLEMENTATIONS; SNAKES; VARIANCE;

MEDICAL APPLICATIONS;

COMPUTER VISION;

EID: 84864684354     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active Contour Models", International Journal of Computer Vision, 1(4), p.321-331, 1988.
2. A. Singh, D. Goldgof, D. Terzopoulos (eds.), "Deformable Models in Medical Image Analysis", IEEE Press, Los Alamitos, CA, 1998.
3. T. McInemey, and D. Terzopoulos, "Deformable Models in Medical Image Analysis: A Survey", Medical Image Analysis, 1(2):91-108, 1996.
4. C. Xu, and J.L. Prince, "Gradient Vector Flow: A New External Force for Snakes", IEEE Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997.
5. C. Kiser, C. Musial, and P. Sen, "Accelerating active contour algorithms with the Gradient Diffusion Field", 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, USA, 2008.
6. Chenyang Xu, Jerry L. Prince, "Snakes, Shapes, and Gradient Vector Flow," IEEE Transactions on Image Processing, 7(3), p. 359-369, March, 1998.
7. Andrew Witkin, "Scale-space filtering", Proc. Eighth International Joint Conference Artificial Intelligence, p. 1019-1022, 1983.
8. A. Witkin, D. Terzopoulos, M. Kass, "Signal matching throught scale space", Proc. Am. Assoc. Artif. Intel., Philadelphia, pp. 714-719, 1986
9. Andrew Witkin, "Scale space filtering: a new approach to multi-scale description", From pixels to predicates. Recent advances in computational and robotic vision, Ablex series in artificial intelligence, by Alex P. Pentland Editor, p. 79-95, 1986.
10. Laurent D. Cohen, "On active contour models and balloons", Computer vision, graphics and image processing: Image understanding, 53(2), p. 211-218, March, 1991.
11. Laurent D. Cohen, Isaac Cohen, "Finite-element method for active contour models and balloons for 2-D and 3-D images", IEEE Transactions on pattern analysis and machine intelligence, vol. 15, no. 11, 1993.
12. J. Ivins, John Porrill, "Statistical snakes: active region model", Proceedings of the conference on British machine vision, vol. 2, p. 377 - 386, 1994.
13. Tina Kapur, W. Eric L. Grimson, Ron Kikinis, "Segmentation of Brain Tissue from MR Images" in Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine, Nice, France, 3-5 April 1995.
14. Tina Kapur, W. Eric L. Grimson, William M. Wells III, Ron Kikinis, "Segmentation of Brain Tissue from Magnetic Resonance Images", Medical Image Analysis vol. 1, no.2, p. 109-127, 1996.
15. Chenyang Xu, Jerry L. Prince, "Generalized Gradient Vector Flow External Forces for Active Contours", Signal Processing - An International Journal, 71(2), p. 131-139, December, 1998.
16. Hyun Keun Park, Myung Jin Chung, "Exernal force of snakes: virtual electric field", Electronic letters, vol. 38, no. 24, p. 1500-1502, 21st November 2002.
17. Hyun Keun Park, Myung Jin Chung, "A new exernal force for active contour model: virtual electric field", Visualization, Imaging, and Image Processing (VHP 2002), September 9 - 12, Marbella, Spain, 2002.
18. Dan Yuan, Siwei Lu, "Simulated static electric field (SSEF) snake for deformable models", Proceeding of the 16th International conference on pattern recognition (ICPR'02), vol. 1, p. 83-86, 2002.
19. Debora Gil, Petia Radeva, "Curvature vector flow to assure convergent deformable models for shape modelling", in Lecture notes in computer science vol. 2683 Springer, Berlin, p. 357-372, 2003.
20. K. W. Sum, Paul Y. S. Cheung, "Boundary vector field for parametric active contours", Pattern Recognition archive, vol. 40, Issue 6, p. 1635-1645, 2007.
21. Tao Wang, Irene Cheng, Anup Basu, "Fluid vector flow and applications in infant brain tumor segmentation", IEEE Transactions on biomedical engineering, vol. 56, no. 3, p. 781 - 789, March 2009.
22. D. Terzopoulos, "Deformable Models: Classic, Topology-Adaptive and Generalized Formulations", in Geometric Level Set Methods in Imaging, Vision, and Graphics, S. Osher, N. Paragios (eds.), Springer-Verlag, New York, Ch. 2, 21-40, 2003.
23. D. Boukerroui "Efficient Numerical Schemes for Gradient Vector Flow", International Conference on Image Processing (ICIP), pp 4057-4060, Cairo, Nov. 7-10, 2009.
24. A. Ahmadi, A. Abedin, H.J. Mattausch, T. Koide, "A parallel hardware design for parametric active contour models", IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS), 2005.