Infrared and Laser Engineering, Volume. 31, Issue 4, 310(2002)
Numerical algorithm for image segmentation based on variational method
[1] [1] Bhabatosb Chanda; Malay K Kundu; Y Vani Padmaja. A multi scale morphologic edge detector[J]. Pattern Recognition; 1998; 31(10):1469 1478.
[2] [2] Phillipe Schmid. Segmentation of digitized dermatoscopic images by two dimensional color clustering[J]. IEEE Trans on Medical Imaging; 1999; 18(2) :164-171.
[3] [3] Mclnerney T; Terzopoulos D. Topologically adaptable snakes
[4] [4] In Proc F fth International Conf on Computer Vision (IC CV'95)[C]. 1995. 840-845.
[5] [5] Geman S; Geman D. Stochastic relaxation; Gibbs distributions; and the Bayesio n restoration of images[J]. IEEE PAMI; 1984 6 : 721-724.
[6] [6] Blake A; Zisserman A. Visual reconstruction[M]. Cambridge: MIT Press; 1987.
[7] [7] Mumford D; Shah J. Optimal approximation by piecewise smooth functions and associated variational problem[J]. Comm Pure Appl Math; 1989; 42:577-685.
[8] [8] Fracnoise Dibos; Eric Séré. An approximation result for the minimizers of tbe Mumford-Shah functional[J]. Bollettino U M I; 1997; 11A(7):149-162.
[9] [9] Massimo Gobbino. Finite difference approximation of the Mum ford-Shah functional[J]. Comm and Appl Math; 1998; LI:197- 228.
[10] [10] Antonin Chambolle. Image segmentation by variational meth ods: Mumford and Shah functional and the discrete approxima tions[J]. Siam. Appl Math; 1995; 55(3):827-863.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese]. Numerical algorithm for image segmentation based on variational method[J]. Infrared and Laser Engineering, 2002, 31(4): 310