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

• Autorzy: Khalid Saeed , Marek Tabędzki , Mariusz Rybnik , Marcin Adamski
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

skeletonization; thinning; digital image processing; parallelization; iteration; thinning methodologies; sequential thinning; parallel thinning

• Wydawca: University of Zielona Gora Press
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2010
• Tom: 20
• Numer: 2
• Strony: 317-335

Daty

wydano

2010

otrzymano

2009-06-14

poprawiono

2009-10-18

Twórcy

autor

Khalid Saeed

• Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Al. Mickiewicza 30, 30-059 Cracow, Poland

autor

Marek Tabędzki

• Faculty of Computer Science, Białystok Technical University, ul. Wiejska 45 A, 15-351 Białystok, Poland

autor

Mariusz Rybnik

• Faculty of Mathematics and Informatics, University of Białystok, ul. M. Skłodowskiej-Curie 14, 15-097 Białystok, Poland

autor

Marcin Adamski

• Faculty of Computer Science, Białystok Technical University, ul. Wiejska 45 A, 15-351 Białystok, Poland

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Identyfikatory

DOI

10.2478/v10006-010-0024-4