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Distance Maps from Unthresholded Magnitudes

  • Luis Anton-Canalis
  • Mario Hernandez-Tejera
  • Elena Sanchez-Nielsen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6669)

Abstract

A straightforward algorithm that computes distance maps from unthresholded magnitude values is presented, suitable for still images and video sequences. While results on binary images are similar to classic Euclidean Distance Transforms, the proposed approach does not require a binarization step. Thus, no thresholds are needed and no information is lost in intermediate classification stages. Experiments include the evaluation of segmented images using the watershed algorithm and the measurement of pixel value stability in video sequences.

Keywords

Distance Transform Thresholding pseudodistances 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Luis Anton-Canalis
    • 1
  • Mario Hernandez-Tejera
    • 1
  • Elena Sanchez-Nielsen
    • 2
  1. 1.SIANI - University of Las Palmas de Gran CanariaSpain
  2. 2.University of La LagunaSpain

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