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

Khalid Saeed; Marek Tabędzki; Mariusz Rybnik; Marcin Adamski

doi:10.2478/v10006-010-0024-4

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

International Journal of Applied Mathematics and Computer Science

Volume 20 (2010): Issue 2 (June 2010)

By: Khalid Saeed, Marek Tabędzki, Mariusz Rybnik and Marcin Adamski

Open Access

|Jul 2010

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.

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Articles in this issue

DOI: https://doi.org/10.2478/v10006-010-0024-4 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 317 - 335

Published on: Jul 2, 2010

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

skeletonization,

thinning,

digital image processing,

parallelization,

iteration,

thinning methodologies,

Related subjects:

© 2010 Khalid Saeed, Marek Tabędzki, Mariusz Rybnik, Marcin Adamski, published by University of Zielona Góra
This work is licensed under the Creative Commons License.

Volume 20 (2010): Issue 2 (June 2010)