title: Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images.
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.
authors.affiliation: Shaanxi University of Science and Technology, Shaanxi, China. helifeng@ist.aichi-pu.ac.jp
authors.forename: Lifeng
authors.initials: L
authors.lastname: He
authors.forename: Yuyan
authors.initials: Y
authors.lastname: Chao
authors.forename: Kenji
authors.initials: K
authors.lastname: Suzuki