Pixel Queue Algorithm for Geodesic Distance Transforms

  • Leena Ikonen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3429)

Abstract

Geodesic distance transforms are usually computed with sequential mask operations, which may have to be iterated several times to get a globally optimal distance map. This article presents an efficient propagation algorithm based on a best-first pixel queue for computing the Distance Transform on Curved Space (DTOCS), applicable also for other geodesic distance transforms. It eliminates repetitions of local distance calculations, and performs in near-linear time.

Keywords

Queue Length Local Distance Geodesic Distance Priority Queue Sequential Algorithm 
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 2005

Authors and Affiliations

  • Leena Ikonen
    • 1
  1. 1.Department of Information TechnologyLappeenranta University of TechnologyLappeenrantaFinland

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