Evaluating Hierarchical Graph-based Segmentation

  • Authors:
  • Yll Haxhimusa;Adrian Ion;Walter G. Kropatsch

  • Affiliations:
  • Vienna University of Technology, Faculty of Informatics;Vienna University of Technology, Faculty of Informatics;Vienna University of Technology, Faculty of Informatics

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
  • Year:
  • 2006

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Abstract

Using real world images, two hierarchical graph-based segmentation methods are evaluated with respect to segmentations produced by humans. Global and local consistency measures do not show big differences between the two representative methods although human visual inspection of the results show advantages for one method. To a certain extent this subjective impression is captured by the new criteria of 'region size variation