三维减薄中拓扑保持的研究

Ma C.M.
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引用次数: 138

摘要

拓扑保持是二维和三维二值图像并行细化算法的主要问题。为了证明并行稀疏算法保持拓扑结构,必须证明它对所有可能的图像都保持拓扑结构。但是检查所有的图像是很困难的,因为可能的图像太多了。在二维情况下,Ronse [Discrete appll]提出了简化这类证明的有效充分条件。数学。21,1988,69 -79。根据Ronse的结果,可以通过检查相当少量的配置来证明二维并行细化算法是拓扑保持的。本文建立了三维并行细化算法保持拓扑的充分条件。
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On Topology Preservation in 3D Thinning

Topology preservation is a major concern of parallel thinning algorithms for 2D and 3D binary images. To prove that a parallel thinning algorithm preserves topology, one must show that it preserves topology for all possible images. But it would be difficult to check all images, since there are too many possible images. Efficient sufficient conditions which can simplify such proofs for the 2D case were proposed by Ronse [Discrete Appl. Math. 21, 1988, 69-79]. By Ronse′s results, a 2D parallel thinning algorithm can be proved to be topology preserving by checking a rather small number of configurations. This paper establishes sufficient conditions for 3D parallel thinning algorithms to preserve topology.

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