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Waterball - IterativeWatershed Algorithm with Reduced Oversegmentation

  • Michal Swiercz
  • Marcin Iwanowski
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

In this paper we present a new approach to watershed algorithm for segmentation of digital grey-scale images. The approach is derived from rainfall-type watershed methods, but utilises a different method of path tracing and iterative gradient image preparation to reduce oversegmentation and yield better results in object extraction. Sample results are discussed, with emphasis on their global correctness and practical applications.

Keywords

Image Segmentation Gradient Image Rolling Ball Catchment Basin Edge Enhancement 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Michal Swiercz
    • 1
  • Marcin Iwanowski
    • 1
  1. 1.Institute of Control and Industrial ElectronicsWarsaw University of TechnologyWarsawPoland

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