基于Vese-Chan模型和分裂bregman方法的高效活动轮廓模型

Yunyun Yang, Yi Zhao
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引用次数: 0

摘要

本文提出了一种基于分段恒多相Vese-Chan模型和分裂Bregman方法的彩色图像多相分割方法。该模型首先以四阶段水平集的形式提出,然后扩展到多阶段的形式。定义了四相和多相能量泛函,并给出了相应的活动轮廓模型的最小化问题。采用分裂Bregman方法有效地减小了多相能量泛函。该模型已应用于合成图像和真实彩色图像,效果良好。数值结果证明了该模型的优越性。
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Efficient active contour model based on Vese-Chan model and split bregman method
In this paper we propose an efficient multi-phase image segmentation for color images based on the piecewise constant multi-phase Vese-Chan model and the split Bregman method. The proposed model is first presented in a four-phase level set formulation and then extended to a multi-phase formulation. The four-phase and multi-phase energy functionals are defined and the corresponding minimization problems of the proposed active contour model are presented. The split Bregman method is applied to minimize the multi-phase energy functional efficiently. The proposed model has been applied to synthetic and real color images with promising results. The advantages of the proposed active contour model have been demonstrated by numerical results.
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