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Mumford-shah Based Registration: A Comparison Of A Level Set And A Phase Field Approach

机译:基于Mumford-shah的注册:水平集和相场方法的比较

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Traditionally, different image processing tasks are mainly considered on their own. The main aim of this paper is a combination of registration, i.e., the spatial alignment of images and segmentation, i.e., the recognition of edges and object contours in images. A proper registration depends on a good initial segmentation and vice versa. In this paper, it is proposed to link these problems together by formulating a coupled variational problem. We will focus on an edge-based approach instead of considering image intensities and propose a variational formulation based on the Mumford-Shah free discontinuity problem. This paper is particularly devoted to a comparison of a sharp interface approach with the phase field analogue.
机译:传统上,主要单独考虑不同的图像处理任务。本文的主要目的是将配准(即图像的空间对齐)和分割(即图像中的边缘和对象轮廓的识别)结合起来。正确的注册取决于良好的初始细分,反之亦然。在本文中,建议通过制定耦合变分问题将这些问题联系在一起。我们将专注于基于边缘的方法,而不是考虑图像强度,并基于Mumford-Shah自由不连续性问题提出一种变分公式。本文特别致力于将尖锐的界面方法与相场模拟进行比较。

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