Irregular pyramid segmentations with stochastic graph decimation strategies

Authors:
Yll Haxhimusa;Adrian Ion;Walter G. Kropatsch
Affiliations:
Faculty of Informatics, Pattern Recognition and Image Processing Group, Vienna University of Technology;Faculty of Informatics, Pattern Recognition and Image Processing Group, Vienna University of Technology;Faculty of Informatics, Pattern Recognition and Image Processing Group, Vienna University of Technology
Venue:
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
Year:
2006

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Abstract

In this paper we use different decimation strategies in irregular pyramid segmentation framework, to produce perceptually important groupings. These graph decimation strategies, based on the maximum independent set concept, used in Borůvka's minimum spanning tree based partitioning method, show similar discrepancy segmentation errors. Global and local consistency error measures do not show big differences between the 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'.