Skeleton extraction in cluttered image based on delaunay triangulation

Vicky Sintunata; Terumasa Aoki

doi:10.1109/ISM.2016.127

Skeleton extraction in cluttered image based on delaunay triangulation

Vicky Sintunata, Terumasa Aoki

New Industry Creation Hatchery Center (NICHe)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Conventional skeleton extraction method usually limits its applicability due to the close curve or complete boundary constraint. Unfortunately in cluttered image or natural image, the close curve or complete boundary constraint happens all the time. Therefore a skeleton extraction algorithm with an incomplete boundary condition is proposed. The proposed method is based on the Delaunay triangulation of some sampled points from the input image. By using the proposed method, the incomplete boundary condition can be relaxed to some extends.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Symposium on Multimedia, ISM 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	365-366
Number of pages	2
ISBN (Electronic)	9781509045709
DOIs	https://doi.org/10.1109/ISM.2016.127
Publication status	Published - 2017 Jan 18
Event	18th IEEE International Symposium on Multimedia, ISM 2016 - San Jose, United States Duration: 2016 Dec 11 → 2016 Dec 13

Other

Other	18th IEEE International Symposium on Multimedia, ISM 2016
Country/Territory	United States
City	San Jose
Period	16/12/11 → 16/12/13

Keywords

Delaunay triangle
Gray image skeletonization
Skeleton
Skeleton extraction

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Media Technology
Computer Science Applications

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10.1109/ISM.2016.127

Cite this

Sintunata, V & Aoki, T 2017, Skeleton extraction in cluttered image based on delaunay triangulation. in Proceedings - 2016 IEEE International Symposium on Multimedia, ISM 2016., 7823647, Institute of Electrical and Electronics Engineers Inc., pp. 365-366, 18th IEEE International Symposium on Multimedia, ISM 2016, San Jose, United States, 16/12/11. https://doi.org/10.1109/ISM.2016.127

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AB - Conventional skeleton extraction method usually limits its applicability due to the close curve or complete boundary constraint. Unfortunately in cluttered image or natural image, the close curve or complete boundary constraint happens all the time. Therefore a skeleton extraction algorithm with an incomplete boundary condition is proposed. The proposed method is based on the Delaunay triangulation of some sampled points from the input image. By using the proposed method, the incomplete boundary condition can be relaxed to some extends.

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ER -

Skeleton extraction in cluttered image based on delaunay triangulation

Abstract

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Keywords

ASJC Scopus subject areas

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