Hierarchical interactive image segmentation using irregular pyramids

Authors:
Michael Gerstmayer;Yll Haxhimusa;Walter G. Kropatsch
Affiliations:
Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology
Venue:
GbRPR'11 Proceedings of the 8th international conference on Graph-based representations in pattern recognition
Year:
2011

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Abstract

In this paper we describe modifications of irregular image segmentation pyramids based on user-interaction. We first build a hierarchy of segmentations by the minimum spanning tree based method, then regions from different (granularity) levels are combined to a final (better) segmentation with user-specified operations guiding the segmentation process. Based on these operations the users can produce a final image segmentation that best suits their applications. This work can be used for applications where we need accuracy in image segmentation, in annotating images or creating ground truth among others.