Parameter optimization for image segmentation algorithms: a systematic approach

Authors:
Maneesha Singh;Sameer Singh;Derek Partridge
Affiliations:
ATR Lab, Research School of Informatics, University of Loughborough, Loughborough, UK;ATR Lab, Research School of Informatics, University of Loughborough, Loughborough, UK;Department of Computer Science, University of Exeter, Exeter, UK
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

Image segmentation is one of the most fundamental steps of image analysis. Almost all image segmentation algorithms have their parameters that need to be optimally set for a good segmentation. The problem of automatically setting algorithm parameters on a per image basis has been largely ignored in the vision community. In this paper we present a novel solution to this problem based on classification complexity and image edge analysis.