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An Efficient Connected-Component Labeling Algorithm for 3-D Binary Images
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DOI：10.1109/OJCS.2022.3233088.png)
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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.
Keyword:
Three-dimensional displays
Labeling
Image resolution
Medical services
Medical diagnostic imaging
Artificial intelligence
Transforms
Computer vision
connected component
labeling algorithm
3D binary image
期刊
I
IF:
8.2
论文数:
417
被引数:
810
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引用论文
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MEDICAL PHYSICS
MEDICAL PHYSICSIF3.2
PREAI
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