On segmentation evaluation metrics and region counts
Allan Hanbury, Julian Stöttinger · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2008
Five image segmentation algorithms are evaluated: mean shift, normalised cuts, efficient graph-based segmentation, hierarchical watershed, and waterfall. The evaluation is done using three evaluation metrics: probabilistic Rand index, global consistency error, and boundary precision-recall. We examine region-based metrics as a function of the number of regions produced by an algorithm. This allows new insights into algorithms and evaluation metrics to be gained. 1.