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Thinning Algorithms as Multivalued N-Retractions

机译:细化算法为多值N收缩

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In a recent paper we have introduced a notion of continuity in digital spaces which extends the usual notion of digital continuity. Our approach, which uses multivalued maps, provides a better framework to define topological notions, like retractions, in a far more realistic way than by using just single-valued digitally continuous functions. In particular, we characterized the deletion of simple points, one of the most important processing operations in digital topology, as a particular kind of retraction.rnIn this work we give a simpler algorithm to define the retraction associated to the deletion of a simple point and we use this algorithm to characterize some well known parallel thinning algorithm as a particular kind of multivalued retraction, with the property that each point is retracted to its neighbors.
机译:在最近的论文中,我们引入了数字空间中的连续性概念,该概念扩展了通常的数字连续性概念。与仅使用单值数字连续函数相比,我们的方法使用多值映射,提供了更好的框架来以更实际的方式定义拓扑概念(如收缩)。特别是,我们将简单点的删除(一种特殊的撤回)描述为数字拓扑中最重要的处理操作之一。rn在这项工作中,我们给出了一种更简单的算法来定义与简单点的删除相关的撤回,并且我们使用此算法将某些众所周知的并行稀疏算法表征为一种特殊的多值缩回,其特性是每个点都缩回至其相邻点。

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