Brimkov Valentin E, Klette Reinhard
Mathematics Department, Buffalo State College, 1300 Elmwood Avenue, Buffalo, NY 14222, USA.
IEEE Trans Pattern Anal Mach Intell. 2008 Apr;30(4):577-90. doi: 10.1109/TPAMI.2007.70725.
In this paper we define and study digital manifolds of arbitrary dimension, and provide (in particular)a general theoretical basis for curve or surface tracing in picture analysis. The studies involve properties such as one-dimensionality of digital curves and (n-1)-dimensionality of digital hypersurfaces that makes them discrete analogs of corresponding notions in continuous topology. The presented approach is fully based on the concept of adjacency relation and complements the concept of dimension as common in combinatorial topology. This work appears to be the first one on digital manifolds based ona graph-theoretical definition of dimension. In particular, in the n-dimensional digital space, a digital curve is a one-dimensional object and a digital hypersurface is an (n-1)-dimensional object, as it is in the case of curves and hypersurfaces in the Euclidean space. Relying on the obtained properties of digital hypersurfaces, we propose a uniform approach for studying good pairs defined by separations and obtain a classification of good pairs in arbitrary dimension. We also discuss possible applications of the presented definitions and results.
在本文中,我们定义并研究了任意维度的数字流形,(尤其)为图像分析中的曲线或曲面追踪提供了一个通用的理论基础。这些研究涉及数字曲线的一维性和数字超曲面的(n - 1)维性等性质,这些性质使它们成为连续拓扑中相应概念的离散类似物。所提出的方法完全基于邻接关系的概念,并补充了组合拓扑中常见的维度概念。这项工作似乎是基于维度的图论定义对数字流形的首个研究。特别地,在n维数字空间中,数字曲线是一维对象,数字超曲面是(n - 1)维对象,就如同欧几里得空间中的曲线和超曲面一样。基于所获得的数字超曲面的性质,我们提出了一种统一的方法来研究由分离定义的好对,并得到了任意维度下好对的分类。我们还讨论了所提出的定义和结果的可能应用。