IEEE Trans Image Process - Two efficient label-equivalence-based connected-component labeling algorithms for 3-D binary images.

Tópicos

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Resumo

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.

Resumo Limpo

whenev one want distinguish recogn andor measur object connect compon binari imag label requir paper present two effici labelequivalencebas connectedcompon label algorithm d binari imag one voxel base run base voxelbas one present effici method decid order check voxel mask runbas one instead assign foreground voxel assign run provision label moreov use run data label foreground voxel without scan background voxel second scan experiment result demonstr voxelbas algorithm effici d binari imag complic connect compon runbas one effici simpl connect compon much effici convent d label algorithm

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