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Connected components of sets of finite perimeter and applications to image processing

机译:有限周长集的连接组件及其在图像处理中的应用

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This paper contains a systematic analysis of a natural measure theoretic notion of connectedness for sets of finite perimeter in R~N, introduced by H. Federer in the more general framework of the theory of currents. We provide a new and simpler proof of the existence and uniqueness of the decomposition into the so-called M-connected components. Moreover, we study carefully the structure of the essential boundary of these components and give in particular a reconstruction formula of a set of finite perimeter from the family of the boundaries of its components. In the two dimensional case we show that this notion of connectedness is comparable with the topological one, modulo the choice of a suitable representative in the equivalence class. Our strong motivation for this study is a mathematical justification of all those operations in image processing that involve connectedness and boundaries. As an application, we use this weak notion of connectedness to provide a rigorous mathematical basis to a large class of denoising filters acting on connected components of level sets. We introduce a natural domain for these filters, the space WBV (Ω) of functions of weakly bounded variation in Ω, and show that these filters are also well behaved in the classical and BV spaces.
机译:本文对H〜Federer在电流理论的更一般框架中引入的R〜N中有限周长集合的连通性的自然度量理论概念进行了系统分析。我们提供了分解为所谓的M连接组件的存在性和唯一性的新的更简单的证明。此外,我们仔细研究了这些组件的基本边界的结构,特别是从其组件的边界族中给出了一组有限周长的重建公式。在二维情况下,我们证明了这种连通性概念与拓扑概念具有可比性,对等价类中合适代表的选择取模。我们进行这项研究的强烈动机是对涉及连接性和边界的图像处理中所有这些操作进行数学证明。作为一种应用,我们使用这种弱的连通性概念为作用在水平集的连通分量上的一大​​类降噪滤波器提供了严格的数学基础。我们为这些滤波器引入了一个自然域,即Ω的有限边界变化函数的空间WBV(Ω),并表明这些滤波器在经典空间和BV空间中也表现良好。

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