Parallel Architectures and Algorithms for Image Component Labeling

A survey and a characterization of the various parallel algorithms and architectures developed for the problem of labeling digitized images over the last two decades are presented. It is shown that four basic parallel techniques underly the various parallel algorithms for this problem. However, because most of these techniques have been developed at a theoretical level, it is still not clear which techniques are most efficient in practical terms. Parallel architectures and parallel models of computation that implement these techniques are also studied. >