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|a eng
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1 |
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|a He, Lifeng
|e verfasserin
|4 aut
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| 245 |
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|a Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images
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|c 2011
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|a Text
|b txt
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|a ƒaComputermedien
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|a Date Completed 07.11.2011
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|a Date Revised 20.10.2021
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a Whenever one wants to distinguish, recognize, and/or measure objects (connected components) in binary images, labeling is required. This paper presents two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images. One is voxel based and the other is run based. For the voxel-based one, we present an efficient method of deciding the order for checking voxels in the mask. For the run-based one, instead of assigning each foreground voxel, we assign each run a provisional label. Moreover, we use run data to label foreground voxels without scanning any background voxel in the second scan. Experimental results have demonstrated that our voxel-based algorithm is efficient for 3-D binary images with complicated connected components, that our run-based one is efficient for those with simple connected components, and that both are much more efficient than conventional 3-D labeling algorithms
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|a Journal Article
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|a Research Support, N.I.H., Extramural
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| 650 |
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|a Research Support, Non-U.S. Gov't
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| 700 |
1 |
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|a Chao, Yuyan
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Suzuki, Kenji
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 20(2011), 8 vom: 15. Aug., Seite 2122-34
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