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Thinning Algorithm to Generate k-Connected Skeletons

  • Juan Luis Díaz de León
  • C. Yánez
  • Giovanni Guzmán
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3287)

Abstract

This paper presents a novel algorithm intended to generate k-connected skeletons of a digital binary image using a new mask set. These skeletons may be 4 or 8 connected. The new algorithm performs a thinning process that finish when it is not possible to eliminate additional pixels without breaking the connectivity. The end-point criterion and a 3x3 masks set are used to decide if a pixel is eliminated. The proposed masks set for each kind of connectivity covers all the necessary cases, and guarantee to obtain a one pixel wide and k-connected skeleton without parasitic branches. The new algorithm yields some advantages to developers. It is not just oriented to written characters or some kind of object in particular; this means that the algorithm can be adapted easily to any application generating good results. Besides, the user can work with different classes of connectivity; note that several recent algorithms use 4-connectivity while 8-connectivity is used for others. Additionally, the skeletons produced by the new algorithm are immune to structured noise around the processed objects.

Keywords

Active Contour Model Structure Noise Label Point Digital Geometry Fast Parallel 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 2004

Authors and Affiliations

  • Juan Luis Díaz de León
    • 1
  • C. Yánez
    • 1
  • Giovanni Guzmán
    • 1
  1. 1.Digital Image Processing LaboratoryCentre for Computing Research (CIC)Mexico CityMexico

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