Infrared and Laser Engineering, Volume. 31, Issue 4, 310(2002)

Numerical algorithm for image segmentation based on variational method

[in Chinese]1,2,3,4, [in Chinese]1,2,3,4, [in Chinese]1,2,3,4, and [in Chinese]1,2,3,4
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    [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.

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    [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

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    Paper Information

    Category: 图像处理

    Received: Feb. 3, 2002

    Accepted: --

    Published Online: Apr. 28, 2006

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