Robust multi-scale extraction of blob features

Authors:
Per-Erik Forssén;Gösta Granlund
Affiliations:
Computer Vision Laboratory, Linköping University, Linköping, Sweden;Computer Vision Laboratory, Linköping University, Linköping, Sweden
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

This paper presents a method for detection of homogeneous regions in grey-scale images, representing them as blobs. In order to be fast, and not to favour one scale over others, the method uses a scale pyramid. In contrast to most multi-scale methods this one is non-linear, since it employs robust estimation rather than averaging to move through scale-space. This has the advantage that adjacent and partially overlapping clusters only affect each other's shape, not each other's values. It even allows blobs within blobs, to provide a pyramid blob structure of the image.