Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors

Abstract : The paper introduces the parallel version of the Light Speed Labeling (LSL) and compares it with the parallel versions of the competitors. A benchmark shows that the parallel Light Speed Labeling is at least ×1.9 faster than all the other algo- rithms for random images. This factor reach ×3.6 for structured random images. More important, we show that thanks to its run-based processing (segments), LSL is intrinsically more efficient than all pixel-based algorithms.
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https://hal.inria.fr/hal-01243310
Contributor : Lionel Lacassagne <>
Submitted on : Monday, December 14, 2015 - 7:02:22 PM
Last modification on : Thursday, March 21, 2019 - 1:11:42 PM

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Lionel Lacassagne, Laurent Cabaret, Daniel Etiemble. Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors. IEEE International Conference on Image Processing (ICIP), Sep 2015, Quebec, Canada. pp.3486-3489, ⟨10.1109/ICIP.2015.7351452⟩. ⟨hal-01243310⟩

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