On segmentation evaluation metrics and region counts

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.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Allan Hanbury, Julian Stöttinger
• Keywords: Computer Vision, Efficient Graph-based Segmentation, Evaluation Metrics, ICPR 2008, Image Segmentation Algorithms