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Efficient active contour model based on Vese-Chan model and split bregman method

机译:基于Vese​​-Chan模型和分裂Bregman方法的有效主动轮廓模型

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摘要

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.
机译:在本文中,我们提出了一种基于分段恒定多相Vese-Chan模型和分裂Bregman方法的彩色图像有效多相图像分割方法。所提出的模型首先以四阶段水平集公式表示,然后扩展为多阶段公式。定义了四相和多相能量函数,并提出了所提出的主动轮廓模型的相应最小化问题。应用分裂布雷格曼方法以有效地最小化多相能量函数。所提出的模型已应用于合成和实色图像,效果令人满意。数值结果表明了所提出的主动轮廓模型的优势。

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