DOI:10.29111/ijlrst ISRA Impact Factor:3.35, Peer-reviewed, Open-access Journal
Research Paper Open Access
International Journal of Latest Research in Science and Technology Vol.3 Issue 2, pp 187-190,Year 2014
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Received : 25 April 2014; Accepted : 28 April 2014 ; Published : 30 April 2014
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Connected component labeling (CCL) is a key step in image segmentation where foreground pixels are extracted and labeled. Sequential CCL is a computationally expensive operation and thus is often done within parallel processing framework to reduce execution time. Various parallel CCL methods have been proposed in the literature. Among them NSZ label equivalence (NSZ-LE) method seemed to perform best. In this paper we propose two new parallel CCL algorithms based on 8-directional label selection and show that they run 3 to 10 times faster than NSZ-LE depending on the characteristics of images.
Copyright © 2014 Youngsung Soh et al. This is an open access article distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Youngsung Soh, Hadi Ashraf, Yongsuk Hae, Intaek Kim , " Fast Parallel Connected Component Labeling Algorithms Using Cuda Based On 8-directional Label Selection ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 2, pp 187-190 , 2014
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