Watershed Segmentation with Chamfer Metric

  • Vasily Goncharenko
  • Alexander Tuzikov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4245)


Watershed transformation is introduced as a computation in image graph of a path forest with minimal modified topographic distance in (ℝ + )2. Two algorithms are presented for image segmentation that use a metric defined by a unit neighborhood as well as a chamfer (a,b)-metric. The algorithms use ordered queues to propagate over image pixels simulating the process of flooding. Presented algorithms can be applied to gray-scale images where objects have noticeable boundaries.


Short Path Voronoi Cell Gradient Image Catchment Basin Contour Detection 
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 2006

Authors and Affiliations

  • Vasily Goncharenko
    • 1
  • Alexander Tuzikov
    • 2
  1. 1.National Center of Information Resources and Technologies, National Academy of Sciences of BelarusMinskBelarus
  2. 2.United Institute of Informatics Problems, National Academy of Sciences of BelarusMinskBelarus

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