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From Metric to Topology: Determining Relations in Discrete Space

机译:从度量标准到拓扑:确定离散空间的关系

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This paper considers the nineteen planar discrete topological relations that apply to regions bounded by a digital Jordan curve. Rather than modeling the topological relations with purely topological means, metrics are developed that determine the topological relations. Two sets of five such metrics are found to be minimal and sufficient to uniquely identify each of the nineteen topological relations. Key to distinguishing all nineteen relations are regions' margins (i.e., the neighborhood of their boundaries). Deriving topological relations from metric properties in R~2 vs. Z~2 reveals that the eight binary topological relations between two simple regions in R~2 can be distinguished by a minimal set of six metrics, whereas in Z~2, a more fine-grained set of relations (19) can be distinguished by a smaller set of metrics (5). Determining discrete topological relations from metrics enables not only the refinement of the set of known topological relations in the digital plane, but further enables the processing of raster images where the topological relation is not explicitly stored by reverting to mere pixel counts.
机译:本文认为,适用于数字Jordan曲线界区域十九平面离散拓扑关系。而不是与造型纯粹的拓扑手段的拓扑关系,度量开发了确定拓扑关系。发现两组的五个这样的指标是最小的,并足以唯一标识每个十九拓扑关系。关键区分所有19个关系是地区的利润率(即,它们的边界附近)。导出从度量性能拓扑关系中R〜2对比Ž〜2显示,在R〜2两个简单的区域之间的八个二进制拓扑关系可以由一组6个度量最小的区分开来,而沿Z〜2,更细的-grained组关系(19)的可通过较小的一组度量标准的(5)来区分。从度量确定离散的拓扑关系不仅能够设定在数字平面已知拓扑关系的细化,但是还能够在拓扑关系未明确通过恢复到单纯的像素数存储光栅图像的处理。

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