K3M: A universal algorithm for image skeletonization and a review of thinning techniques

  • Authors:
  • Khalid Saeed;Marek Tabędzki;Mariusz Rybnik;Marcin Adamski

  • Affiliations:
  • Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Cracow, Poland;Faculty of Computer Science, Bialystok Technical University, ul. Wiejska 45 A, 15-351 Białystok, Poland;Faculty of Mathematics and Informatics, University of Białystok, ul. M. Skłodowskiej-Curie 14, 15-097 Białystok, Poland;Faculty of Computer Science, Bialystok Technical University, ul. Wiejska 45 A, 15-351 Białystok, Poland

  • Venue:
  • International Journal of Applied Mathematics and Computer Science
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper aims at three aspects closely related to each other: first, it presents the state of the art in the area of thinning methodologies, by giving descriptions of general ideas of the most significant algorithms with a comparison between them. Secondly, it proposes a new thinning algorithm that presents interesting properties in terms of processing quality and algorithm clarity, enriched with examples. Thirdly, the work considers parallelization issues for intrinsically sequential algorithms of thinning. The main advantage of the suggested algorithm is its universality, which makes it useful and versatile for a variety of applications.