CV model is one of the most important image segmentation model and disadvantage in view of its convergence rate is slow and low efficiency of the proposed a new method for solving the CV model. First, the energy functional of the CV model adapted and had the same stable solution total variational formula, and then use the dual formula method for total variation formula of minimum, and in which introduced a speed to accelerate the convergence speed of the model. New method to overcome the gradient descent method requires small time steps, the number of iterations of the shortcomings of the, after a few times of iteration will converge, reducing the number of iterative computation

CV model code1\1.bmp
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..............\backward_gradient.m
..............\brain.jpg
..............\curvature.m
..............\demo_cv.asv
..............\demo_cv.m
..............\dong.bmp
..............\EVOLUTION_CV.asv
..............\EVOLUTION_CV.m
..............\forward_gradient.m
..............\three.bmp
..............\twocells.bmp
..............\vessel.bmp
CV model code1

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