We consider a class of problems of Discrete Tomography which has been deeply investigated in the past: the reconstruction of convex lattice sets from their horizontal and/or vertical X-rays, i.e. from the number of points in a sequence of consecutive horizontal and vertical lines. The reconstruction of the HV-convex polyominoes works usually in two steps, first the filling step consisting in filling operations, second the convex aggregation of the switching components. We prove three results about the convex aggregation step: (1) The convex aggregation step used for the reconstruction of HV-convex polyominoes does not always provide a solution. The example yielding to this result is called \textit{the bad guy} and disproves a conjecture of the domain. (2) The reconstruction of a digital convex lattice set from only one X-ray can be performed in polynomial time. We prove it by encoding the convex aggregation problem in a Directed Acyclic Graph. (3) With the same strategy, we prove that the reconstruction of fat digital convex sets from their horizontal and vertical X-rays can be solved in polynomial time. Fatness is a property of the digital convex sets regarding the relative position of the left, right, top and bottom points of the set. The complexity of the reconstruction of the lattice sets which are not fat remains an open question.
翻译:我们考虑了离散层析成像的一类问题,即从水平和/或垂直线序列中的点数重构凸面格点集。HV-凸面多米诺骨牌的重构通常包括两个步骤:第一步是填充操作,第二步是开关组件的凸聚合。我们证明了关于凸聚合步骤的三个结果:(1)用于HV-凸面多米诺骨牌重构的凸聚合步骤并不总是提供解决方案。产生此结果的示例称为“坏家伙”,并证明了领域中的一个猜想不成立。(2)仅从一个X光线中重构数字凸面格点集可以在多项式时间内完成。我们通过将凸聚合问题编码为有向无环图来证明它。(3) 用同样的策略,我们证明可以在多项式时间内从其水平和垂直X光线中解决凸数字集的重构问题。胖数字凸集是关于集合左侧,右侧,顶部和底部点的相对位置的数字凸集的一种属性。不胖这类格点集的重构问题的复杂性是一个未解决的问题。