Level set based on new Signed Pressure Force Function for Echocardiographic image segmentation

[1] M. Kass, A. Witkin, D. Terzopoulos, “Snakes: active contour models,” International Journal of Computer Vision, vol. 1, pp.
321–331, 1988.
[2] V. Caselles, R. Kimmel, G. Sapiro, “Geodesic active contours,” in: Proceeding of IEEE International Conference on
Computer Vision’95, Boston MA, pp 694–699, 1995.
[3] S. Kichenassamy, A. Kumar, P. Olver, A. Tannenbaum, “Conformal curvature flows: From phase transitions to active
vision,” Arch. Ration. Mech. Anal., vol 134, no. 3, pp. 275-301, 1996.
[4] V. Caselles, R. Kimmel, G. Sapiro, “Geodesic active contours,” International Journal of Computer Vision, vol. 22, no.1, pp.
61–79, 1997.
[5] Chan T, Vese L, “Active contours without edges,” IEEE Transaction on Image Processing, vol. 10, no. 2, pp. 266–277,
2001.
[6] G. P. Zhu, S. Q. Zhang, Q. S. Zeng, C. H. Wang, “Boundary-based image segmentation using binary level set method,”
Optical Engineering vol. 46:050501, 2007.
Kalpana Saini, M.L. Dewal, and Manojkumar Rohit
ISSN : 2028-9324 Vol. 3 No. 2, June 2013 569
[7] G. Zhu, S. Zhang, Q. Zeng, and C. Wang C, “Boundary-based image segmentation using binary level set method,” SPIE
Letters, vol.46, no. 5, 2007.
[8] R. Ronfard, “Region-based strategies for active contour models”, Int. 1.Comp. Vis., vol.13, no. 2, pp. 229-251, 1994.
[9] C. Samson, L. Blanc-Feraud, G. Aubert and J. Zerubia, “A variational model for image classification and restoration,” IEEE
Trans. Patt. Anal. Mach. Intell., vol. 22, no. 5, pp. 460- 472, 2000.
[10] C. M. Li, C. Y. Xu, C. F. Gui, M. D. Fox, “Level set evolution without re-initialization: a new variational formulation,” in:
IEEE Conference on Computer Vision and Pattern Recognition, San Diego, pp. 430–436, 2005.
[11] N.Paragios, R. Deriche, “Geodesic active contours and level sets for detection and tracking of moving objects,” IEEE
Transaction on Pattern Analysis and Machine Intelligence, pp. 221–15, 2000.
[12] C. Xu, J. L. Prince, “Snakes, shapes, and gradient vector flow,” IEEE Transaction on Image Processing, vol. 7, pp. 359-369,
1998.
[13] J. Lie, M. Lysaker, X. C. Tai, “A binary level set model and some application to Munford–Shah image segmentation,” IEEE
Transaction on Image Processing, vol. 15:1171-1181.
[14] Mumford D, Shah J, “Optimal approximation by piecewise smooth function and associated variational problems,”
Communication on Pure and Applied Mathematics 42, pp. 577-685, 1989.
[15] L. Chen, Y. Zhou, Y. G. Wang and Yang, “GACV: geodesic-aided C-V method,” Pattern Recognition, vol. 39, pp. 1391-
1395, 2006.
[16] L. Pi L, J. Fan and C.M. Shen, “Color image segmentation for objects of interest with modified geodesic active contour
method”, Math. Image and Vis, vol. 27, pp. 51-57, 2007.
[17] S. Y. Yu, Y. Zhang, Y. Wang, and J. Yang, “Color-texture image segmentation by combing region and photometric
invariant edge information,” in: MCAM 2007, 4577, pp. 286-294, 2007.
[18] Z. Ying, L. Guangyao, S. Xiehua, and X. Xinmin, “Geometric active contours without re-initialization for image
segmentation,” Pattern Recogn., vol.42, no. 9, pp. 1970-1976, 2009.
[19] K. Zhang, L. Zhang, H. Song, W. Zhou, “Active contours with selective local or global segmentation: A new formulation
and level set method,” Image and Vision Computing vol. 28, pp. 668-676, 2010.