NDLI: Two Efficient Label-Equivalence-Based Connected-Component Labeling Algorithms for 3-D Binary Images

Content Provider	IEEE Xplore Digital Library
Author	Lifeng He Yuyan Chao Suzuki, K.
Copyright Year	1992
Abstract	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.
Sponsorship	IEEE Signal Processing Society
Page Count	13
File Size	925627
Starting Page	2122
Ending Page	2134
File Format	PDF
ISSN	10577149
Volume Number	20
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pixel Labeling Image resolution Three dimensional displays Algorithm design and analysis Image edge detection Face 3-D binary image Connected component label equivalence labeling algorithm run
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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