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IEEE Open Journal of the Computer Society
Article . 2023 . Peer-reviewed
License: CC BY
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An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images

Authors: Xiao Zhao; Yuyan Chao; Hui Zhang; Bin Yao; Lifeng He;

An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images

Abstract

Conventional voxel-based algorithms for labeling connected components in 3D binary images use the same mask to process all object voxels. To reduce the number of times that neighboring voxels are checked when object voxels are processed, we propose an algorithm that uses two different masks for processing two different types of object voxels. One type of mask is used when the voxel preceding the object voxel being processed is an object voxel, and the other type is used otherwise. In either case, an optimal order is used for checking the voxels in the corresponding mask. Experimental results demonstrate that our proposed algorithm checked fewer voxels, and was more efficient than conventional algorithms.

Related Organizations
Keywords

connected component, Electronic computers. Computer science, labeling algorithm, Computer vision, QA75.5-76.95, Information technology, 3D binary image, T58.5-58.64

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
gold