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Digitally Continuous Multivalued Functions, Morphological Operations and Thinning Algorithms

机译:数字连续多值函数,形态运算和细化算法

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摘要

In a recent paper (Escribano et al. in Discrete Geometry for Computer Imagery 2008. Lecture Notes in Computer Science, vol. 4992, pp. 81–92, 2008) we have introduced a notion of continuity in digital spaces which extends the usual notion of digital continuity. Our approach, which uses multivalued functions, provides a better framework to define topological notions, like retractions, in a far more realistic way than by using just single-valued digitally continuous functions.udIn this work we develop properties of this family of continuous functions, now concentrating on morphological operations and thinning algorithms. We show that our notion of continuity provides a suitable framework for the basic operations in mathematical morphology: erosion, dilation, closing, and opening. On the other hand, concerning thinning algorithms, we give conditions under which the existence of a retraction F:X⟶X∖D guarantees that D is deletable. The converse is not true, in general, although it is in certain particular important cases which are at the basis of many thinning algorithms.
机译:在最近的一篇论文中(Escribano等人在《计算机图像的离散几何》 2008年。计算机科学讲座,第4992卷,第81-92页,2008年)中,我们引入了数字空间连续性的概念,该概念扩展了通常的概念。数字连续性。我们的方法使用多值函数,与仅使用单值数字连续函数相比,它提供了更好的框架来以更实际的方式定义拓扑概念(例如缩进)。 ud在本工作中,我们将开发此连续函数系列的属性,现在专注于形态运算和细化算法。我们证明了我们的连续性概念为数学形态学中的基本操作提供了合适的框架:侵蚀,膨胀,闭合和开放。另一方面,关于细化算法,我们给出了条件F:X⟶X∖D保证D是可删除的。通常,相反的说法是不正确的,尽管在某些特殊情况下这是许多细化算法的基础。

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