Optimal Bounds for Weak Consistent Digital Rays in 2D

Matt Gibson-Lopez, Serge Zamarripa
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Abstract

Representation of Euclidean objects in a digital space has been a focus of research for over 30 years. Digital line segments are particularly important as other digital objects depend on their definition (e.g., digital convex objects or digital star-shaped objects). It may be desirable for the digital line segment systems to satisfy some nice properties that their Euclidean counterparts also satisfy. The system is a consistent digital line segment system (CDS) if it satisfies five properties, most notably the subsegment property (the intersection of any two digital line segments should be connected) and the prolongation property (any digital line segment should be able to be extended into a digital line). It is known that any CDS must have Ω(log n ) Hausdorff distance to their Euclidean counterparts, where n is the number of grid points on a segment. In fact this lower bound even applies to consistent digital rays (CDR) where for a fixed p ∈ Z 2 , we consider the digital segments from p to q for each q ∈ Z 2 . In this paper, we consider families of weak consistent digital rays (WCDR) where we maintain four of the CDR properties but exclude the prolongation property. In this paper, we give a WCDR construction that has optimal Hausdorff distance to the exact constant. That is, we give a construction whose Hausdorff distance is 1.5 under the L ∞ metric, and we show that for every ϵ > 0, it is not possible to have a WCDR with Hausdorff distance at most 1 . 5 − ϵ .
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二维弱一致数字射线的最佳边界
欧几里得物体在数字空间中的表示一直是30多年来研究的焦点。数字线段尤其重要,因为其他数字对象依赖于它们的定义(例如,数字凸对象或数字星形对象)。数字线段系统可能需要满足其欧几里得对应物也满足的一些很好的性质。如果该系统满足以下五个属性,则该系统是一致的数字线段系统(CDS),其中最显著的是子线段属性(任何两个数字线段的交点都应该连接)和延伸属性(任何数字线段都应该能够延伸成数字线段)。已知任意CDS与其欧几里得对应点之间的豪斯多夫距离必须为Ω(log n),其中n为线段上网格点的个数。事实上,这个下界甚至适用于一致数字射线(CDR),其中对于固定的p∈z2,我们考虑每个q∈z2从p到q的数字段。本文考虑弱一致数字射线族(WCDR),其中保留了CDR的四个性质,但排除了延长性质。本文给出了一种具有最优豪斯多夫距离到精确常数的WCDR结构。也就是说,我们给出了一个在L∞度规下豪斯多夫距离为1.5的构造,并且我们证明了对于每个λ > 0,不可能有一个豪斯多夫距离不超过1的WCDR。5−ε。
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