Active contour model driven by globally signed region pressure force

2013 18th International Conference on Digital Signal Processing, DSP 2013

Volumn , Issue , 2013, Pages

  Abdelsamea, Mohammed M ^a   Tsaftaris, Sotirios A ^a  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

Author keywords

Active contours; Region based segmentation; Signed pressure force; Variational level set method

Indexed keywords

ACTIVE CONTOURS; GLOBAL ACTIVE CONTOURS; INTENSITY DISTRIBUTION; REGION-BASED SEGMENTATION; SEGMENTATION RESULTS; SIGNED PRESSURE FORCES; THE REGION OF INTEREST (ROI); VARIATIONAL LEVEL SET METHODS;

DIGITAL SIGNAL PROCESSING; IMAGE SEGMENTATION;

DRAG REDUCTION;

EID: 84888883253     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDSP.2013.6622691     Document Type: Conference Paper

References (21)

1. V. Caselles, R. Kimmel, and G. Sapiro, "Geodesic Active Contours," International Journal of Computer Vision, Vol. 22, no. 1, pp. 61-79, Feb. 1997.
2. S. Kichenassamy, A. Kumar, and P. Olver, "Conformal Curvature Flows: From Phase Transitions to Active Vision," 1995.
3. G. Zhu, "Boundary-based image segmentation using binary level set method," Optical Engineering, Vol. 46, no. 5, pp. 050-501+, May 2007.
4. N. Paragios and R. Deriche, "Geodesic active contours and level sets for the detection and tracking of moving objects," Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, no. 3, pp. 266-280, Mar. 2000.
5. C. Xu and J. L. Prince, "Snakes, Shapes, and Gradient Vector Flow," in IEEE Transactions on Image Processing, 1998, pp. 359-369.
6. A. Vasilevskiy and K. Siddiqi, "Flux Maximizing Geometric Flows," in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2001, pp. 1565-1578.
7. C. Li, C. Xu, C. Gui, and M. D. Fox, "Level set evolution without re-initialization: A new variational formulation," in in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, 2005, pp. 430-436.
8. T. F. Chan and L. A. Vese, "Active contours without edges," Image Processing, IEEE Transactions on, Vol. 10, no. 2, pp. 266-277, Feb. 2001.
9. L. Chen, Y. Zhou, Y. Wang, and J. Yang, "GACV: Geodesic-Aided CV method," Pattern Recognition, Vol. 39, no. 7, pp. 1391-1395, Jul. 2006.
10. K. Zhang, L. Zhang, H. Song, and W. Zhou, "Active contours with selective local or global segmentation: A new formulation and level set method," Image and Vision Computing, Vol. 28, no. 4, pp. 668-676, Apr. 2010.
11. L. Wang, L. He, A. Mishra, and C. Li, "Active contours driven by local Gaussian distribution fitting energy," Signal Processing, Vol. 89, no. 12, pp. 2435-2447, Dec. 2009.
12. P. Wang, K. Sun, and Z. Chen, "Local and Global Intensity Information Integrated Geodesic Model for Image Segmentation," in Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on, Vol. 2. IEEE, Mar. 2012, pp. 129-132.
13. T.-T. Tran, V.-T. Pham, Y.-J. Chiu, and K.-K. Shyu, "Active contour with selective local or global segmentation for intensity inhomogeneous image," in Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on, Vol. 1. IEEE, Jul. 2010, pp. 306-310.
14. U. Vovk, F. Pernus, and B. Likar, "A Review of Methods for Correction of Intensity Inhomogeneity in MRI," Medical Imaging, IEEE Transactions on, Vol. 26, no. 3, pp. 405-421, Mar. 2007.
15. S. Liu and Y. Peng, "A local region-based ChanVese model for image segmentation," Pattern Recognition, Vol. 45, no. 7, pp. 2769-2779, Jul. 2012.
16. Y. Shi and W. C. Karl, "Real-time tracking using level sets," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2. IEEE, Jun. 2005, pp. 34-41 Vol. 2.
17. H.-K. Zhao, T. Chan, B. Merriman, and S. Osher, "A Variational Level Set Approach to Multiphase Motion," Journal of Computational Physics, Vol. 127, no. 1, pp. 179-195, 1996.
18. http://www.eecs.berkeley.edu/Research/Projects/CS/vision/bsds/.
19. http://www4.comp.polyu.edu.hk/cskhzhang/.
20. http://www.unc.edu/liwa/.
21. http://decsai.ugr.es/cvg/dbimagenes/gbio256.php.