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

Khalid Saeed; Marek Tabędzki; Mariusz Rybnik; Marcin Adamski

International Journal of Applied Mathematics and Computer Science (2010)

- Volume: 20, Issue: 2, page 317-335
- ISSN: 1641-876X

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topKhalid Saeed, et al. "K3M: a universal algorithm for image skeletonization and a review of thinning techniques." International Journal of Applied Mathematics and Computer Science 20.2 (2010): 317-335. <http://eudml.org/doc/207990>.

@article{KhalidSaeed2010,

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.},

author = {Khalid Saeed, Marek Tabędzki, Mariusz Rybnik, Marcin Adamski},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {skeletonization; thinning; digital image processing; parallelization; iteration; thinning methodologies; sequential thinning; parallel thinning},

language = {eng},

number = {2},

pages = {317-335},

title = {K3M: a universal algorithm for image skeletonization and a review of thinning techniques},

url = {http://eudml.org/doc/207990},

volume = {20},

year = {2010},

}

TY - JOUR

AU - Khalid Saeed

AU - Marek Tabędzki

AU - Mariusz Rybnik

AU - Marcin Adamski

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

JO - International Journal of Applied Mathematics and Computer Science

PY - 2010

VL - 20

IS - 2

SP - 317

EP - 335

AB - 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.

LA - eng

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

UR - http://eudml.org/doc/207990

ER -

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