On the Performance of Connected Components Grouping

  title={On the Performance of Connected Components Grouping},
  author={Alexander Berengolts and Michael Lindenbaum},
  journal={International Journal of Computer Vision},
Grouping processes may benefit computationally when simple algorithms are used as part of the grouping process. In this paper we consider a common and extremely fast grouping process based on the connected components algorithm. Relying on a probabilistic model, we focus on analyzing the algorithm's performance. In particular, we derive the expected number of addition errors and the group fragmentation rate. We show that these performance figures depend on a few inherent and intuitive parameters… CONTINUE READING


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