Parallel light speed labeling: An efficient connected component labeling algorithm for multi-core processors
Laurent Cabaret, Lionel Lacassagne, Daniel Etiemble · 2015
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 ×1.8 faster than all the other algorithms for random images on average. This factor reaches ×3.2 for structured random images. More importantly, we show that thanks to its run-based processing (segments), LSL is intrinsically more efficient than all pixel-based algorithms.