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A variational model in image processing with focal points

机译:具有焦点的图像处理中的变分模型

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摘要

We propose a model for segmentation problems involving an energy concentrated on the vertices of an unknown polyhedral set, where the contours of the images to be recovered have preferred directions and focal points. We prove that such an energy is obtained as a Gamma-limit of functionals defined on sets with smooth boundary that involve curvature terms of the boundary. The minimizers of the limit functional are polygons with edges either parallel to some prescribed directions or pointing to some fixed points, that can also be taken as unknown of the problem.
机译:我们提出了一个分割问题的模型,该模型涉及的能量集中在一个未知的多面体集合的顶点上,其中要恢复的图像轮廓具有首选的方向和焦点。我们证明,这种能量是作为函数的伽玛极限获得的,该函数在具有光滑边界的集合上定义,该集合涉及边界的曲率项。极限函数的最小化器是多边形,其边缘平行于某些指定方向或指向某些固定点,这也可以视为未知问题。

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