Hierarchical Image Partitioning using Combinatorial Maps

@inproceedings{Ion2005HierarchicalIP,
  title={Hierarchical Image Partitioning using Combinatorial Maps},
  author={Adrian Ion and Yll Haxhimusa and Walter G. Kropatsch and Luc Brun},
  year={2005}
}
We present a hierarchical partitioning of images using a pairwise similarity function on a combinatorial map based representation. We used the idea of minimal spanning tree to find region borders quickly in a bottom-up way, based on local differences. The result is a hierarchy of image partitions with multiple resolutions suitable for further goal driven analysis. The algorithm can handle large variation and gradient intensity in images. Dual graph representations lack an explicit encoding of… CONTINUE READING

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