[3] TOTH D AACH T METZLER V.Illumination-invariant change detection[C]//Proceedings of the 4th IEEE Southwest Symposium 2000:3-7.
[4] ZHANG Kaihua SONG Huihui ZHANG Lei.Active contours driven by local image fitting energy[J].Pattern Recognition 2010 43(4):1199-1206.
[5] LANKTON S TANNENBAUM A.Localizing region-based active contours[J].IEEE Transactions on Image Proces-sing 2008 17(11):2029-2039.
[6] BRESSON X ESEDOGLU S VANDERGHEYNST P et al.Fast global minimization of the active contour/snake model[J].Journal of Mathematical Imaging and Vision 2007 28(2):151-167.
[7] ZHANG Kaihua XU Shoushi ZHOU Wengang et al.Active contours based on image Laplacian fitting energy[J].Chinese Journal of Electronics 2009 18(2):281-284.
[8] CHAN T F VESE L A.Active contours without edges[J].IEEE Transactions on Image Processing 2001 10(2):266-277.
[9] MUMFORD D SHAH J.Optimal approximation by piecewise smooth functions and associated variational problems[J].Communications on Pure and Applied Mathema-tics 1989 42(5):577-685.
[10] BREGMAN L.The relaxation method of finding the common points of vertex sets and its application to the solution of problems in conver optimization[J].USSR Computational Mathematics and Mathematical Physics 1967(7):200-217.
[11] SETHIAN J A.Level set methods and fast marching methods:Evolving interfaces in computational geometry fluid mechanics computer vision and materials science[M].USA:Cambridge University Press 1999.
[12] OSHER S BURGER M GOLDFARB D et al.An iterative regularization method for total variation-based image restoration[J].Muitiscale Model Simul 2005 4(2):460-489.
[13] GOLDSTEIN T OSHER S.The Split Bregman Method for L1 regularized problems[R].UCLA CAM Report 2008:8-29.
[14] ZIVKOVIC Z VAN DER HEIJDEN F.Efficient adaptive density estimation per image pixel for the task of background subtraction[J].Pattern Recognition Letters 2006 27(7):773-780.