Robust Multi-Scale Extraction of Blob Features
Per-Erik Forssén, Gösta GranlundSCIA 2003, Gothenburg, Sweden
Proceedings of the 13th Scandinavian Conference on Image Analysis
Pages 11-18
June-July 2003
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.
Full Paper
On-line proceedings available at the Springer website.
Bibtex entry
@InProceedings{fg03, author = {Per-Erik Forss\'en and G\"osta Granlund}, title = {Robust Multi-Scale Extraction of Blob Features}, booktitle = {Proceedings of the 13th Scandinavian Conference on Image Analysis}, pages = {11--18}, year = {2003}, series = {{LNCS} 2749}, isbn = {978-3-540-40601-3}, address = {Gothenburg, Sweden}, month = {June-July} }
Per-Erik Forssén
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