论拓扑学在图像分析中的应用

Gabor T Herman
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引用次数: 50

摘要

我们讨论了最近发表的V. A. Kovalevsky的主张,即细胞复合物的拓扑结构是图像分析的唯一合适的拓扑结构。在某种意义上,我们证实了这个说法,甚至把它从有限域推广到无限域。我们证明了一些结果,这些结果可以解释为一类偏序集合严格等价于一类拓扑空间,这类拓扑空间足以处理所有的图像分析。然而,当部分有序集合与一个维数函数互补从而形成细胞复合体时,这种等价性就不存在了。事实上,目前尚不清楚的是,使用图像分析中标准的维度分配的细胞复合体的子类是否确实足够强大,足以涵盖图像分析的所有问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On topology as applied to image analysis

We discuss the recently published claim of V. A. Kovalevsky that the topology of cellular complexes is the only appropriate topology for image analysis. In some sense we confirm this claim and even generalize it from the finite domain to an infinite one. We prove some results which can be interpreted to show that the class of partially ordered sets is strictly equivalent to a class of topological spaces which is certainly powerful enough to handle all of image analysis. However, such equivalence does not carry over when the partially ordered sets are complemented with a dimension function so as to form cellular complexes. In fact, it remains unclear whether the subclass of cellular complexes which use the assignment of dimension which is standard in image analysis is indeed powerful enough to encompass all problems of image analysis.

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