Robust Multi-scale Extraction of Blob Features

  • Per-Erik Forssén
  • Gösta Granlund
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


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.


Label Image Channel Vector Pepper Noise Channel Image Channel Representation 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Per-Erik Forssén
    • 1
  • Gösta Granlund
    • 1
  1. 1.Computer Vision LaboratoryLinköping UniversityLinköpingSweden

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