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On the Number of hv-Convex Discrete Sets

机译:关于HV-CONVEX离散集的数量

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摘要

One of the basic problems in discrete tomography is the reconstruction of discrete sets from few projections. Assuming that the set to be reconstructed fulfills some geometrical properties is a commonly used technique to reduce the number of possibly many different solutions of the same reconstruction problem. The class of hv-convex discrete sets and its subclasses have a well-developed theory. Several reconstruction algorithms as well as some complexity results are known for those classes. The key to achieve polynomial-time reconstruction of an hv-convex discrete set is to have the additional assumption that the set is connected as well. This paper collects several statistics on hv-convex discrete sets, which are of great importance in the analysis of algorithms for reconstructing such kind of discrete sets.
机译:离散断层扫描中的基本问题之一是从几个预测中重建离散集。假设要重建的集合满足一些几何特性是一种常用的技术,用于减少相同重建问题的许多不同解决方案的数量。 HV-Convex离散集的类及其子类具有发达的理论。几种重建算法以及某些复杂性结果对于这些类是众所周知的。实现HV-CONVEX离散集的多项式重建的关键是具有所连接的额外假设。本文收集了HV-Convex离散集的几个统计数据,这在重建这种离散集的算法中具有重要意义。

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