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In this paper, an improved variational level set method for the Chan-Vese model is proposed to drive level set function to become fast and stably close to signed distance function. A restriction item that is a nonlinear heat equation with balanced diffusion rate is added to the traditional Chan-Vese model, and therefore the costly re-initialization procedure is completely eliminated. The proposed variational level set formulation is implemented by numerical scheme with spatial rotationinvariance gradient and divergence operator. Consequently it computes more efficiently. The proposed algorithm has been applied to medical images with desired results.

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