A multiphase image segmentation model for piecewise smooth images on implicit surfaces

Jing Wang, Yong-guo Zheng, Zhenkuan Pan, Wei Zhong Zhang, J. Duan
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Abstract

To segment piecewise smooth images on implicit surfaces, Potts model which is a general variational model for planar multiphase image segmentation is extended to the one for image segmentation on implicit surfaces. Potts model is reformulated not only on implicit closed surfaces but also on implicit open surfaces. An improved dual method is proposed to speed up the computation process. Some numerical experiments are presented to give qualitative and quantitative comparisons among our method and the other two fast methods, that is, Split Bregman method and dual method. The results show that these methods can all segment piecewise smooth images on implicit surfaces effectively while the improved dual method is more efficient than Split Bregman method and dual method.
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隐式曲面上分段光滑图像的多相分割模型
为了在隐式曲面上分割光滑图像,将平面多相图像分割的一般变分模型Potts模型推广到隐式曲面上的图像分割模型。不仅在隐式封闭曲面上,而且在隐式开放曲面上,对波茨模型进行了重新表述。为了提高计算速度,提出了一种改进的对偶方法。通过一些数值实验,对本文方法与其他两种快速方法(Split Bregman法和对偶法)进行了定性和定量比较。结果表明,这些方法均能有效分割隐式曲面上的光滑图像,改进的对偶方法比Split Bregman方法和对偶方法更有效。
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