[1]
Kass M, Wi tk in A, T erzopoulos D. S nakes : active contour models [ J] . International Journal of Computer Vision, 1988, 1( 4) : 321-331.
Google Scholar
[2]
Xu, C., Prince, J.: Snakes, shapes, and gradient vector flow. IEEE Transactions on Image Processing, 1998, 7(3), 359–369.
DOI: 10.1109/83.661186
Google Scholar
[3]
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic active contours. International Journal Computer. Vision. 1997, 22(1): 61–79.
DOI: 10.1109/iccv.1995.466871
Google Scholar
[4]
Li, C., Xu, C., Gui, C., Fox, M.D.: level set evolution without re-initialization: a new variational formulation. In: IEEE Conference on Computer Vision p.430–436. San Diego (2005).
DOI: 10.1109/cvpr.2005.213
Google Scholar
[5]
C. Li, C. Xu, C. Gui, and M. D. Fox. Distance Regularized Level Set Evolution and its Application to Image Segmentation IEEE Transactions on Image Processing. 2010, 12(19): 3243-3254.
DOI: 10.1109/tip.2010.2069690
Google Scholar
[6]
Mumford D, Shah J. Optimal approximations by piecewise smooth functions and associated variational problems. Pure and Applied Mathematics, 1989, 42 (5): 577-685.
DOI: 10.1002/cpa.3160420503
Google Scholar
[7]
T. Chan and L. A. Vese, Active Contours Without Edges, IEEE Transactions on Image Processing, 2001, 10(2): 266-277.
DOI: 10.1109/83.902291
Google Scholar
[8]
C. Li, C. Kao, J. C. Gore, and Z. Ding. Minimization of Region-scalable Fitting Energy for Image Segmentation, IEEE Transactions. Image Process. 2008,17(10): 1940–(1949).
DOI: 10.1109/tip.2008.2002304
Google Scholar
[9]
C. He,Y. Wang,Q. Chen. Active contours driven by weighted region-scalabe fitting energy based on local entropy. Signal Procesing. 2012, 92: 587-600.
DOI: 10.1016/j.sigpro.2011.09.004
Google Scholar